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C2150-198 IBM Security Access Manager V7.0(R) Implementation

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C2150-198 exam Dumps Source : IBM Security Access Manager V7.0(R) Implementation

Test Code : C2150-198
Test appellation : IBM Security Access Manager V7.0(R) Implementation
Vendor appellation : IBM
: 111 true Questions

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IBM IBM Security Access Manager

ImageWare Receives IBM PartnerWorld's "competent for IBM security Intelligence" Validation | killexams.com true Questions and Pass4sure dumps

SAN DIEGO, Oct 02, 2017 (GLOBE NEWSWIRE by means of COMTEX) --

ImageWare techniques, Inc. (ImageWare or IWS) (otcqb:IWSY), a frontrunner in mobile and cloud-based mostly, multi-modal biometric identification administration solutions, nowadays announced it has acquired IBM PartnerWorld's ready for IBM security Intelligence designation for its GoVerifyID commerce Suite. due to this fact, ImageWare's GoVerifyID has been validated to integrate with IBM protection items to aid improved protect its shoppers worldwide.

ImageWare's GoVerifyID offers multi-modal biometric user authentication using cell instruments and software-as-a-carrier (SaaS). GoVerifyID, mixed with IBM's flagship access management platform, IBM protection access manager (ISAM), makes it feasible for clients to swipe a fingerprint, recall a selfie, or provide a voice pattern on their mobile machine to authenticate for any ISAM managed resource. GoVerifyID commerce Suite is an end-to-conclusion, business-capable, safety retort that can moreover live seamlessly built-in into your current ISAM authentication methods, presenting a secure and user-pleasant journey, while enabling you to undertake new biometric modalities as they are available.

"flexible cellular biometric authentication, combined with comfy net utility access offers the top of the line in protection and pleasant person adventure," spoke of IWS Chairman and CEO Jim Miller. "ISAM clients can now delight in seamless integration and directly access totality of their apps by means of simply taking a selfie, the consume of a fingerprint or speakme a passphrase. And, of direction, as with any IWS cell authentication products, users can at totality times avail themselves of the newest advancements in biometric expertise if they elect to accomplish so as their GoVerifyID items are supported with the aid of their patented IWS Biometric Engine(R) that permits for unparalleled flexibility, scale, and protection."

The equipped for IBM security Intelligence alliance is designed to promote expertise collaboration and integration to extend and enhance security insurance, cave in silos of tips, and raise situational consciousness and insights. With the PartnerWorld application and equipped for safety Intelligence validation, IBM supports collaboration with its company partners to allow the mixing of product capabilities and improved security capabilities for mutual shoppers.

About ImageWare techniques, Inc.ImageWare methods, Inc. is a leading developer of cell and cloud-based identity administration options, presenting biometric authentication options for the business. The company offers next-era biometrics as an interactive and scalable cloud-based answer. ImageWare brings collectively cloud and cellular know-how to present multi-component authentication for smartphone clients, for the business, and throughout industries.

ImageWare's products aid multi-modal biometric authentication together with, but no longer limited to, face, voice, fingerprint, iris, palm, and greater. totality of the biometrics can moreover live combined with or used as replacements for authentication and entry control equipment, together with tokens, digital certificates, passwords, and PINS, to deliver the gold gauge flush of assurance, accountability, and ease of consume for company networks, net purposes, mobile devices, and workstation computer environments.

ImageWare is headquartered in San Diego, Calif., with workplaces in Portland, OR, Ottawa, Ontario, and Mexico city, Mexico. To study extra about ImageWare, talk over with iwsinc.com; solemnize us on Twitter, LinkedIn, YouTube and fb.

Investor members of the family:

LioliosCody SlachTel 1-949-574-3860IWSY@liolios.com

Copyright (C) 2017 GlobeNewswire, Inc. totality rights reserved.


IBM safety access supervisor 7.0 Now accessible | killexams.com true Questions and Pass4sure dumps

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KuppingerCole record: management Compass of access administration and Federation | killexams.com true Questions and Pass4sure dumps

KuppingerCole report: leadership Compass of entry management and Federation April 15, 2019  |  by means of Kelly Lappin Man using a smartphone to log into an account on a laptop: access management

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Share KuppingerCole document: management Compass of access management and Federation on Twitter participate KuppingerCole record: leadership Compass of access administration and Federation on fb participate KuppingerCole document: management Compass of access administration and Federation on LinkedIn

a Part of fixing any IT subject is finding the appropriate retort for the problem and making inevitable the concern will now not ensue once again. one of the most major struggles for the IT trade is finding the right vendors to enlist as protectors.

KuppingerCole’s leadership Compass record on entry administration and federation aims to proximate the hollow between the amend retort and the right supplier.

rising commerce requirements, corresponding to onboarding company partners, featuring consumer access to services and adopting new cloud capabilities, require IT to react and find options to those communications and collaboration circumstances. access management and federation providers are closing in to tackle these needs and enable enterprise agility.

With many vendors during this market segment, the KuppingerCole leadership Compass gives a view and evaluation of the leading carriers and their strengths and weaknesses. The document acts as a ebook for the consumer to compare product points and particular person product necessities.

study the KuppingerCole management Compass file

Breaking Down the management rankings

When evaluating the distinct carriers and products, KuppingerCole looked into the elements of gauge performance, dimension of the business, number of consumers, number of developers, companion ecosystems, licensing models and platform assist. particular facets, such as federation inbound, federation outbound, backend integration, adaptive authentication, registration, consumer studies, protection fashions, deployment models, customization and multitenancy, had been regarded as neatly.

KuppingerCole created numerous leadership scores, including “Product leadership,” “Innovation management,” and “Market leadership,” to mingle for the “ordinary leadership” ranking. With this view, KuppingerCole gives an ordinary impact of each and every vendor’s providing within the specific market section.

Product leadership is in keeping with evaluation of product and features points and capabilities. This view focuses on the purposeful power and completeness of each product.

Innovation management focuses on a customer-oriented system that ensures the product or provider has compatibility with earlier models, in addition to helps new features that carry emerging client requirements.

Market management is according to market criteria, corresponding to number of clients, the companion ecosystem, the world attain and the nature of responses to components affecting the market outlook. This view focuses on global attain, sales and service aid, and successful execution of advertising and marketing method.

KuppingerCole Leadership Compass: Access Management and Federation

KuppingerCole Leadership Compass: Access Management and Federation

How IBM Ranks

IBM security access supervisor (ISAM) is ranked as a frontrunner in the Product, marketing and know-how leadership categories. This rating comes from IBM ISAM having one of the greatest consumer bases of totality carriers in the market section, a robust accomplice ecosystem, develope access management and robust adaptive authentication. ISAM is among the many main products in the entry administration and federation market and meets organizations’ starting to live lists of IT security requirements with wide characteristic support.

study the entire report

check out the complete file to find:

  • an profile of the access administration and federation market;
  • The right seller and amend retort on your enterprise; and
  • Why IBM ISAM is a pacesetter in Product, advertising and know-how.
  • read the KuppingerCole leadership Compass document

    Tags: entry administration | IBM protection | identity and entry administration (IAM) | Kuppingercole | protection products | protection options Contributor'photo Kelly Lappin

    Portfolio advertising and marketing professional, IBM

    Kelly Lappin is a advertising and marketing professional working on the IBM safety SaaS portfolio. 2 Posts proceed studying What’s new
  • PodcastPodcast: Muscle reminiscence and Cyber health practising
  • ArticleAutomation in Cyber Resilient organizations: Key Findings From 2019 Ponemon analyze
  • ArticleLevel Up security Operations With threat Intelligence Cheat Codes
  • Share this text: Share KuppingerCole document: management Compass of entry management and Federation on Twitter participate KuppingerCole report: management Compass of entry administration and Federation on facebook participate KuppingerCole document: leadership Compass of entry administration and Federation on LinkedIn extra on id & access Two programmers working on security controls to detect black market tls/ssl certificates ArticleDark web TLS/SSL Certificates spotlight want for Shift to Zero possess faith safety Businessman logging into an app on a smartphone: identity and access management PodcastPodcast: Zero possess confidence and the Evolving role of identity and access management Professional using SSO authentication to access  labor applications ArticleReap the promise of 1 and achieved Authentication With SSO Businesswoman talking on a smartphone while using a laptop in a cafe: cloud IAM ArticleHow to accelerate Your Cloud IAM Adoption

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    IBM Security Access Manager V7.0(R) Implementation

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    SkyGiraffe Gets Strategic Investment From Microsoft To Mobilize Enterprises | killexams.com true questions and Pass4sure dumps

    Last they heard from SkyGiraffe, a platform to extend enterprise systems with mobile devices, it had raised a seed round from Angels (including Parker Thompson, a partner at 500 Startups) back in May. Today it announces it has taken a strategic investment from Microsoft Ventures. Terms were not disclosed but they understand from sources that the investment is more about strategy than injecting large amounts of cash. Because SkyGiraffe has key integrations with Microsoft technologies, this will give it significant distribution, and presumably, passage more traction than if it was out there on its own.

    The company was started by and Itay Braun, VP R&D, and Boaz Hecht, CEO. The latter says they gain it “easy for businesses to perform” on mobile. How it works is this: An IT manager downloads the client, installs SkyGiraffe Studio and then selects the back-end and data source to connect. IT can then define security access and other IT policies. Inside 30 minutes they declare an enterprise can provide employees with secure access to on-premise data from several backend systems. Thus, any Oracle or MS SQL DBA can build a mobile app that reads and writes from tables/views and stored procedures within a few minutes.

    In practical terms that means the skill to read and write-back live data to the company’s systems, both ERP and CRM. Normally this would require either a spacious system integration project or hiring dedicated developers – but with their platform they declare it’s a very simple integration. The endemic apps are built for both iOS and Android devices so implementation and compatibility issues don’t really figure. Technically speaking, it’s biggest competitors are Capriza and IBM Worklight.

    SkyGiraffe’s platform provides secure access to live data, such as sales, finance, inventory, and operational information through a customizable mobile platform that can live implemented across an organisation.

    Rahul Sood, universal Manager of Microsoft Ventures says the investment means SkyGiraffe is a “great case of talented founders that possess utilized Microsoft’s programs for startups to augment their chance to succeed.”

    SkyGiraffe started their relationship with Microsoft through the BizSpark program and later were accepted into the Microsoft Ventures Accelerator in Israel.

    Enterprise companies can request an invite via their site, which is in private beta.


    A Distributed Access Control Architecture for Cloud Computing | killexams.com true questions and Pass4sure dumps

    This article first appeared in IEEE Software magazine and is brought to you by InfoQ & IEEE Computer Society.

    The growing popularity of cloud computing draws attention to its security challenges, which are particularly exacerbated due to re­source sharing.1 Cloud computing’s multitenancy and virtualization fea­tures pose unique security and access control challenges due to sharing of physical resources among potential untrusted tenants, resulting in an in­creased risk of side-channel attacks.2 Additionally, the interference of mul­titenancy computation can result in unauthorized information flow. Het­erogeneity of services in cloud com­puting environments demands vary­ing degrees of granularity in access control mechanisms. Therefore, an inadequate or unreliable authorization mechanism can significantly augment the risk of unauthorized consume of cloud resources and services. In addition to preventing such attacks, a fine-grained authorization mechanism can assist in implementing gauge se­curity measures. Such access control challenges and the complexities asso­ciated with their management muster for a sophisticated security architecture that not only adequately captures ac­cess management requirements but moreover ensures secure interoperation across multiple clouds.

    We present a distributed access control architecture for multitenant and virtualized environments. The design of this architecture is based on the principles from security management and software engineering. From a security management perspective, the goal is to meet cloud users’ access control requirements. From a soft­ware engineering perspective, the goal is to generate particular specifications of such requirements.

    Several researchers possess previ­ously addressed access control issues for cloud computing. Daniel Nurmi and his colleagues provided an au­thorization system to control the ex­ecution of virtual machines (VMs) to ensure that only administrators and owners could access them.3 Stefan Berger and his colleagues promoted an authorization model based on both role-based access control (RBAC) and security labels to control access to shared data, VMs, and network resources.4 Jose Alcaraz Calero and his colleagues presented a centralized authorization system that provides a federated path-based access con­trol mechanism.5 What distinguishes their labor is that they present an archi­tecture that can live implemented us­ing an XML-based formalism.6 They moreover address the problems of side-channel attacks and noninterference in the presence of multitenancy and resource virtualization. Accordingly, they present an access control architecture that addresses these challenges.

    Authorization Requirements

    In order to build a secure and trusted distributed cloud computing infrastructure, the cloud architecture’s designer must address several authorization requirements.

    Multitenancy and Virtualization

    Side-channel attacks and interference among different policy domains pose daunting challenges in distributed clouds. Side-channel attacks are based on information obtained from physical implementation (for example, via time- or bandwidth-monitoring attacks). Side-channel attacks arise due to want of authorization mechanisms for sharing physical resources. The interference among tenants exists primarily because of covert channels with flawed access control policies that allow unauthorized information flow.7

    Decentralized Administration

    Decentralized administration is characterized by the principle of local autonomy, which implies that each service model retains administrative control over its resources. This is in contrast to a centralized administration approach, which implies loss of autonomy in controlling resources; it’s not a desirable system feature when dealing with several independent clouds. Moreover, the exigency for a fine-grained access control can enact substantial requirements in designing an access control policy employing a large number of authorization rules. These rules can grow significantly with an augment in the granularity of resources, as well as with the number of users and services supported by the cloud. A centralized design based on the integration of totality global rules can pose significant challenges.

    Secure Distributed Collaboration

    To support a decentralized environment, the cloud infrastructure should allow both horizontal and perpendicular policy interoperation for service delivery. Due to the heterogeneous nature of the cloud, resource and service policies might consume different models requiring seamless interoperation among policies. These policies must live correctly specified, verified, and enforced. A service-level agreement (SLA) can provide secure collaboration and assure that services are provided according to pre-established rules.

    Credential Federation

    Because a user might invoke services across multiple clouds, access control policies must support a mechanism to transfer a customer’s credentials across layers to access services and resources. This requirement includes a provision for a decentralized single-sign-on mechanism within the authorization model, which can enable persistent authorization for customers in terms of their identity and entitlement across multiple clouds.6

    Constraint Specification

    The collaborative nature of a cloud computing environment requires the specification of semantic and contextual constraints to ensure adequate protection of services and resources, especially for mobile services. Semantic constraints (for example, separation of duties) and contextual constraints (such as temporal or environmental constraints included in an access request) must live evaluated when determining access to services and resources.8 Semantic and contextual constraints are specified in the access control policy.

    Designing a Distributed Cloud Architecture

    The nature of assuring resource sharing across multiple clouds depends on the collaborative environment. motif 1 shows three types of collaborations (federated, loosely coupled, and ad hoc) that can fulfill the aforementioned authorization requirements.

    Federated Collaboration

    Federated collaboration is characterized by a elevated degree of mutual dependence and dependence among collaborating clouds and supports a long-term interoperation. To live secure, this collaboration requires a global metapolicy that’s consistent with local policies of the collaborating clouds. A policy-composition framework (top bury of motif 1) is necessary if a global metapolicy needs to live generated by integrating the policies of individual clouds.8

    Loosely Coupled Collaboration

    In a loosely coupled collaborative environment, local policies govern interactions among multiple clouds. In contrast to a federated collaboration, this collaboration is more resilient and autonomous in terms of access policies and resource management. Two collaborating clouds can virtualize their resources and allow autonomous sharing of resources. The information about the virtualized shareable resources and services of each cloud is stored in a virtual global directory service (VGDS), which is manifested across service-level agreement (SLAs). The middle bury of motif 1 shows the verification for conformance of individual clouds’ security and privacy policies for loosely coupled collaboration.

    Ad Hoc Collaboration

    In ad hoc collaboration, a user is only aware of a few remote sharable services. Because a priori information about an application’s overall service requirements might not live available to the user or cloud at the start of a session, a cloud might contravene access to its resources. To ensure secure interoperation via discovered resources and services in a dynamic interoperation environment where clouds can combine and leave in an ad hoc manner, appropriate authentication and authorization mechanisms exigency to live developed.

    Evaluation

    Several metrics can live used to evaluate these collaborations, including

  • degree of interoperation, which indicates the flush of service and resource sharing among multiple clouds;
  • autonomy, which refers to a cloud’s skill to accomplish its local operations without any interference from cross-cloud accesses;
  • degree of privacy, which specifies the extent of information a cloud provider discloses about its internal policies and local constraints; and
  • verification complexity, which quantifies the complexity associated with verifying the correctness of the overall constraints while integrating multiple policies.
  • Figure 1 shows the tradeoffs among collaboration types and these metrics; the collaboration metrics’ arrows point toward higher values. For example, ad hoc collaboration supports a higher flush of privacy than federated or loosely coupled collaborations do.

    (Click on the image to enlarge it)

    FIGURE 1. Characterization of collaboration in a mutlicloud environment. In a distributed environment, they can build a security architecture based on the design of these collaborations. Their comparison is based on degree of interoperation, autonomy, privacy, and veri­fication complexity. The architecture they present in this article is based on federated and loosely coupled collaborations.

    A Distributed Cloud Security Architecture

    The proposed distributed architecture that addresses and incorporates the aforementioned authorization requirements can live built using three types of components: a virtual resource manager (VRM), a distributed access control module (ACM; motif 2), and an SLA (Figure 3). The proposed architecture (Figure 4) uses the RBAC model, which is recognized for its support for simplified administration and scalability.6 However, the design of this architecture is generic enough to support other access control policies, such as discretionary access control and multilevel security.

    FIGURE 2. Access control module architecture. This component can live used to build the proposed distributed architecture.

    FIGURE 3. Service-level agreement (SLA) architecture. This component can live used to build the proposed distributed architecture.

    FIGURE 4. Intercloud and intracloud interoperations for the distributed security architecture. Shaded SLAs correspond to alternate architectures involving peer-to-peer interoperation.

    VRM Design Specification

    The heterogeneity and granularity of virtual resources in a cloud environment muster for a VRM at each layer of the cloud, as depicted in motif 4. The VRM is responsible for providing and deploying virtual resources. Consequently, it maintains a list of required virtual resources with their configuration, including both local and remote resources through VGDS-the one shown in motif 1. SLAs provide access to remote resources, whereas the VRM is responsible for monitoring deployed resources and might earmark or release them to ensure SLA compliance, including guarantees for property of service. To manage the scalability issue in cloud computing in term of users and resources, the VRM uses a distributed architecture.3

    ACM Design Specification

    An ACM resides at each layer to enforce the access control policy at its resident layer. As shown in motif 2, the main components of an ACM include

  • a policy decision point,
  • a policy enforcement point (PEP),and
  • a policy base.
  • The authorization request (Figure 2, step 1) submitted to the PEP includes the requesting subject, the requested service or resource, and the ilk of permissions requested for that service or resource (such as read or write privileges). The request might moreover involve the credentials needed for authentication and authorization. The PEP extracts the authentication credentials and the context information from the authorization request and forwards them to the credential evaluator and context evaluator (Figure 2, step 2). The PEP receives the decision about granting the request (Figure 2, step 3) and either grants or denies the user’s authorization request.

    If the request contains an authenticating credential, the credential evaluator assigns a user a local role based on the user-to-role assignment rules stored in the RBAC policy base. The process of user-to-role assignment requires input from the context evaluator regarding contextual constraints. If the request contains an authorization credential, the credential evaluator assesses if the role corresponds to a local role. If not, the implication is that this is a single-sign-on request and requires role mapping by a material SLA. Subsequently, the user acquires the privileges of the locally assigned role or of a mapped role in a remote cloud.6

    SLA Specification

    To allow interoperation among autonomous policies manifested through ACMs, an SLA implements a mediated policy. For this purpose, an SLA performs role mapping, specifies isolation constraints for resource sharing to preclude side-channel attacks, and presents a virtualized view of resources at the levels for which the SLA is negotiated. In addition, an SLA usually includes quality-of-service parameters, as well as billing and auditing functions. motif 3 depicts the authorization current within an SLA.

    Role mapping is a role that maps a local role to a role in a remote cloud and grants access to totality the mapped role’s permissions. The mutually agreed upon mediated policy, which is generally a subset of the policies of the participating ACMs, enforces access control for distributed services or resources through this mapping. In addition, the SLA physically isolates resources to preclude side-channel attacks at the remote cloud.2 Such isolation can preclude multiple VMs from residing on the same physical machine. Physical isolation can live explicitly enforced in the profile of cardinality constraint rules in the RBAC policy.6 By setting the cardinality constraint parameter to one, they can enforce such isolation.

    RBAC Policy Specification for Proposed Architecture

    We adopted an XML-based specification due to its compatibility with the emerging standards for cloud systems and security protocols, with the ultimate goal being that the proposed architecture should live interoperable with complementary security protocols for cloud systems. Figures 5a and 5b pomp the XML-based specifications of ACMs and SLAs, respectively. (The plenary details of RBAC XML declaration materialize elsewhere.6)

    The ACM’s XML user sheet defines the authenticating credentials and the XML role sheet defines the authorization credentials. The XML user-to-role assignment sheet defines user-to-role assignment rules, which can live based on attributes associated with users’ credentials as defined in the XML user sheet. XML permission-to-role assignment sheets define permission-to-role assignment rules. Permission-to-role constraints can live based on attributes associated with a role’s credential or the resource ilk as defined in XML virtual resource sheets (see motif 5c). The constraints can live semantic (for instance, separation of duty) or temporal. To picture authorization requirements as a set of predicates, predicate role definitions sheets define the formal notion of predicate expression. A predicate role definition sheet can involve mediated rules for intercloud resource sharing; a predicate expression can aid evaluate sets of temporal or non-temporal constraints.6

    (Click on the image to enlarge it)

    FIGURE 5. High-level XML declaration: (a) access control module, (b) mediated service-level agreement policy, and (c) virtual resource de­finition and sharing constraint (local and remote).

    A license defined in the XML license sheet comprises a specified operation on a given resource type. Thus, a role assigned a license defined on a given resource ilk receives access to totality instances of that resource type. XML allows access granularity at individual levels within a resource ilk to provide support for individual virtual resources-for example, as mentioned earlier, they can specify the physical isolation impute of a virtual resource at the individual resource flush in the profile of a cardinality constraint to preclude side-channel attacks in the local cloud. Note that depending on if the requested resources are local or remote, the ACM decides whether or not to invoke SLA. The XML specification of the SLA depicted in motif 5b provides a limited view of advertised virtual resources, role mapping, and cardinality constraints.

    Ensuring Noninterference

    To avoid security risk due to potential interference as a result of multitenancy, they must abstract policies by participating ACMs and SLAs as an information current model. Subsequently, this model can live verified to ensure the property of noninterference.7 Such verification ensures that each domain remains unaffected by the actions of other domains. As side-channel attacks can live managed through cardinality constraints, unauthorized information current can only occur when there’s fight among cloud policies. In conjunction with the data model, verification models8 or verification tools (such as Alloy9) can detect conflicts among policies, which causes unauthorized information flow.

    Distributed Authorization Process and consume Cases

    Three types of interoperations related to authorization current can occur at various layers of the distributed architecture, as illustrated in motif 4. ilk 1 depicts a horizontal (peer-to-peer) interoperation between the same levels of different cloud providers; ilk 2 represents a perpendicular interoperation between layers within the same cloud; and ilk 3 indicates a cross-layered interoperation between different clouds at different layers. Both ilk 1 and 3 interoperations require SLAs among the participating clouds. These three types of interoperation moreover establish distributed authorization mechanisms among ACMs.

    For distributed authorization, VRMs consume their peer-to-peer or cross- layered interoperations through VGDSs in order to provide the required re- sources. VGDSs possess both the local virtual resource IDs and the paths of the physical resources they map to, as well as remote virtual resource IDs consistent with the SLAs that advertise these resources. Therefore, a VGDS can manifest either through peer-to-peer or cross-layered SLAs (shown in dotted SLA blocks at the PaaS and IaaS levels of motif 4). Assessment of these architectural choices is an open problem.

    For interoperations among ACMs, they envision loosely coupled collaboration consistent with ilk 1 and ilk 3 interoperations because individual clouds exigency to betray only limited in- formation about their services and policies. Federated cloud collaboration requires an extensive analysis prior to generating the global metapolicy, which can result in a elevated degree of complexity and rule explosion. Therefore, this approach isn’t scalable for distributed collaboration. Also, generating a consistent global metapolicy could require extensive mediation to resolve conflicts among heterogeneous policies.8 Similarly, ad hoc collaboration doesn’t federate credentials across clouds because it lacks SLA support.

    For ilk 2 interoperation, federated collaboration can live an appropriate approach because it requires only perpendicular integration of polices. Therefore, the elevated complexity for generating a global metapolicy within a cloud is justified because the cloud provider has access to totality its local policies belonging to the three service models. However, the provider must address the challenge of fight resolution and mediation for generating such a metapolicy. motif 5a shows an case of a high-level metapolicy specification; further details materialize elsewhere.6

    Authorization Process

    When a customer requests a service or virtual resource, the request goes to the local ACM (Figure 6, step 1). If the ACM grants this request, it routes the request to the local VRM (step 2). If the requested resources reside in the local cloud, the VRM (after consulting the VGDS) forwards the request to the local ACM of the lower level-for example, from SaaS to PaaS (step 3). Ultimately, the request goes to the infrastructure as a service (IaaS)-level VRM in order to deploy the required physical resources. If the required resources are in a remote cloud, the local VRM, after consulting the VGDS, issues a remote request to the appropriate SLA (step 3). The SLA, after performing its functions involving role mapping and evaluating the policy constraints, forwards the request to the remote ACM (step 4). After verifying its own constraints (including cardinality constraints), the ACM informs its local VRM to earmark the desired resources (step 5). Finally, the VRM identifies and configures the local physical resources (step 6).

    (Click on the image to enlarge it)

    FIGURE 6. current of request via the access control module and virtual resource manager across multiple clouds.

    Use Cases

    This authorization process is a generic representation of a set of consume cases. To specify these cases, they adopt Alcaraz Calero and colleagues’ authorization model4 by extending it to support multitenancy and virtualization in a distributed environment. motif 7 illustrates two classes of scenarios covering totality feasible interactions within and across multiple clouds. These scenarios involve the three types of interoperations discussed earlier in this article. Assuming an RBAC model, the authorization request can live represented using a four-tuple expression (subject, permission, interface, protest [attributes]), which can live interpreted in the following way: the subject (as a role) asking for a license to live performed over the protest (virtual resource or service) with its attributes (such as isolation constraint) and that object’s interface type. They assume the authorization request is time stamped to accommodate temporal contextual constraint. From an RBAC perspective, the subject is represented as a role. In addition, users of the XML user sheet specified in motif 5a, which identifies user-to-role assignments, can assume their respective roles. Along with this assignment, the proposed four-tuple can fully specify an authorization request.

    When user X initiates the authorization process to access an application (app) at the SaaS flush of its local cloud (SaaSCP1), the corresponding ACM’s PEP needs to authenticate the user prior to assigning a local role (for example, Rx) based on its credentials. If X requires a remote resource, the participating SLA assigns it a mapped role (say, Ry).

    The local SaaS verifi es this request, represented as Rx, execute, SaaSCP1, app, for authorization. Consequently, one of the following scenarios can occur.

    Scenario A. motif 7a depicts this scenario. They assume the requested resources are locally available, resulting in ilk 2 collaboration within the local cloud. Accordingly, the SaaS’s local VRM identifies virtual resources-for example, computation instance (CompInstx) and storage (Storex). Assuming that the local policy verifi es the authorization request, the VRM, after consulting with the VGDS, requests the two desired resources through the following two authorization requests: Rx, execute, PaaSCP1, CompInstx(isolation=1) and Rx, execute, IaaSCP1, StoreX. Here, they assume X is requesting fully isolated computation resources to avoid side-channel attacks.

    Scenario B. motif 7b shows four scenarios depicting ACM interaction across multiple clouds at different levels:

  • The service requested (app) by X consists of two services, app1 and app2 (local and remote, respectively), causing interoperation between SaaS ACMs in different clouds. In this case, they assume a peer-to-peer interoperation (type 1). Consequently, the VRM in the local SaaS of CP1 forwards the request Ry, execute, SaaSCP2, app2 to the remote SaaS’s ACM of CP2 through the material SLA (depicted in motif 6). Because app1 and app2 consume virtualized resources in their local clouds, the remaining authorization process within each cloud is similar to scenario A.
  • In scenario B.2, the local SaaS needs to access virtual resources managed by CP2’s PaaS and IaaS. Assuming cross-layered SLA architecture, the local SaaS’s VRM generates the authorization request Ry, execute, PaaSCP2, CompInstx(isolation = 1), which is then forwarded to CP2’s PaaS’s ACM through the SLA. The remaining authorization process for acquiring virtualized resources within the remote cloud is similar to scenario A.
  • Scenario B.3 is identical to scenario B.2, except the local cloud needs virtual resources, which are maintained by a remote IaaS. Accordingly, the local PaaS’s VRM generates the authorization request Ry, execute, IaaSCP2, VMx(isolation = 1) and forwards it to the remote IaaS’s ACM through a cross-layered SLA.
  • In scenario B.4, an intermediate cloud must process the authorization request with further rerouting to a remote cloud (CP3) where the physical infrastructure is located.1 In this case, SaaS, PaaS, and IaaS belong to distinct clouds. The authorization requests Ry, execute, PaaSCP2,CompInstX(isolation = 1) and Rz, execute, IaaSCP3,VMX( isolation = 1) are generated in succession to the corresponding ACMs after the VRMs invoke the SLAs.
  • FIGURE 7. Scenario-based policy interoperation. (a) Secure interoperation within a local cloud to acquire resources that are locally available. (b) Secure interoperation involving SLAs at different levels to acquire resources among multiple clouds.

    These consume cases picture high-level design requirements for the proposed architecture and cover totality feasible authorization current processes that can live used to design and develop the distributed architecture. Currently, development for a prototype of this architecture is underway; it uses the Microsoft Azure platform to develop a health surveillance and rapid response infrastructure with the capability of collecting and analyzing real-time epidemic data from various hospitals. This cloud computing environment consists of compute clusters, dependable data storage, and software services. The stakeholders involve researchers, physicians, and government public health management personnel in the chain of reporting. The services provided to stakeholders involve visual analytics, statistical data analysis, and scenario simulations.10

    The architecture they present in this article represents a precise but comprehensive authorization design for access management. Using an XML-based declaration of the access control policy for this architecture is a step toward its implementation. However, they must address several open challenges in order to implement a fully secure and trusted cloud environment. These involve design of an authentication mechanism, cryptography and key management, mediation for fight resolution of heterogeneous policies, software design for virtualized resources, integrating information current verification tools to ensure noninterference, and architectural choices for SLAs. They draw to address these challenges in their future work.

    Acknowledgments

    The research in this article is partially funded by the US National Science Foundation under vouchsafe IIS-0964639.

    References

    1. H. Takabi, J.B.D. Joshi, and G.-J. Ahn, "Security and Privacy Challenges in Cloud Computing Environments," IEEE Security & Privacy, vol. 8, no. 6, 2010, pp. 24-31.2. T. Ristenpart et al., "Hey, You, obtain off of My Cloud: Exploring Information Leakage in Third-Party Compute Clouds," Proc. 16th ACM Conf. Computer and Communications Security (CCS 09), ACM, 2009, pp. 199-212.3. D. Nurmi et al., "The Eucalyptus Open- Source Cloud-Computing System," Proc. 9th IEEE/ACM Int’l Symp. Cluster Computing and the Grid (CCGRID 09), IEEE CS, 2009, pp. 124-131.4. S. Berger et al., "Security for the Cloud Infrastructure: Trusted Virtual Data focus Implementation," IBM J. Research and Development, vol. 53, no. 4, 2009, pp. 560-571.5. J.M. Alcaraz Calero et al., "Toward a Multitenancy Authorization System for Cloud Services," IEEE Security & Privacy, vol. 8, no. 6, 2010, pp. 48-55.6. R. Bhatti, E. Bertino, and A. Ghafoor, "X- Federate: A Policy Engineering Framework for Federated Access Management," IEEE Trans. Software Eng., vol. 32, no. 5, 2006, pp. 330-346.7. J. Rushby, Noninterference, Transitivity, and Channel-Control Security Policies, tech. report CSL-92-02, Computer Science Lab, SRI Int’l, 1992.8. B. Shafi q et al., "Secure Interoperation in a Multidomain Environment Employing RBAC Policies," IEEE Trans. lore and Data Eng., vol. 17, no. 11, 2005, pp. 1557-1577.9. D. Jackson, I. Schechter, and I. Shlyakhter, "ALCOA: The Alloy Constraint Analyzer," Proc. 22nd Int’l Conf. Software Eng., ACM, 2000, pp. 730-733.10. S. Afzal, R. Maciejewski, and D.S. Ebert, "Visual Analytics decision support Environment for Epidemic Modeling and Response Evaluation," IEEE Conf. Visual Analytics Science and Technology (VAST 11), IEEE CS, 2011, pp. 191-200.

    About the Authors 

    This article first appeared in IEEE Software magazine. IEEE Software's mission is to build the community of leading and future software practitioners. The magazine delivers reliable, useful, leading-edge software development information to preserve engineers and managers abreast of rapid technology change.


    IBM: We're on the cusp of the Quantum Computing revolution (video) | killexams.com true questions and Pass4sure dumps

    IBM Research Advances Device Performance for Quantum Computing

    Latest results bring device performance near the minimum requirements for implementation of a practical quantum computer.

    Scaling up to hundreds or thousands of quantum bits becomes a possibility.

    YORKTOWN HEIGHTS, NY – 28 Feb 2012: Scientists at IBM Research (NYSE: IBM)/ (#ibmresearch) possess achieved major advances in quantum computing device performance that will accelerate the realization of a practical, full-scale quantum computer. For specific applications, quantum computing which leverages the underlying quantum mechanical deportment of matter has the potential to deliver computational power that is unrivaled by any supercomputer today.

    Using a variety of techniques in the IBM labs, scientists possess established three new records for reducing the oversight in elementary computations and retaining the integrity of quantum mechanical properties in quantum bits (qubits) – the basic units that carry information within quantum computing. Furthermore, IBM has chosen to employ superconducting qubits which consume established microfabrication techniques developed for silicon technology, providing the potential to one day scale up to and manufacture thousands or millions of qubits.

    IBM researchers will live presenting their latest results today at the annual American Physical Society meeting taking position February 27-March 1, 2012 in Boston, MA.

    The Possibilities of Quantum Computing

    The special properties of qubits allow a quantum computer to labor on millions of computations at once, while a desktop PC can typically ply minimal computations at a time. For example, a separate 250-qubit condition contains more bits of information than there are particles in the universe.

    These properties will possess wide-spread implications foremost for the realm of data encryption where quantum computers could factor very large numbers like those used to decode and encode sensitive information.

    "The quantum computing labor they are doing shows it is no longer just a brutish obligate physics experiment. It's time to start creating systems based on this science that will recall computing to a gross new level," says IBM scientist Matthias Steffen, manager of the IBM Research team that's focused on developing quantum computing systems to a point where it can live applied to real-world problems.

    Numerous other applications could involve searching databases of unstructured information, performing a orbit of optimization tasks and solving new enchanting mathematical problems.

    How Quantum Computing Works

    The most basic piece of information that a classical computer understands is a bit. Much like a light that can live switched on or off, a bit can possess only one of two values: "1" or "0". For qubits, they can hold a value of "1" or "0" as well as both values at the same time. Described as superposition, this is what allows quantum computers to accomplish millions of calculations at once.

    One of the remarkable challenges for scientists seeking to harness the power of quantum computing is controlling or removing quantum decoherence – the creation of errors in calculations caused by interference from factors such as heat, electromagnetic radiation, and materials defects. To deal with this problem, scientists possess been experimenting for years to determine ways of reducing the number of errors and of lengthening the time periods over which the qubits retain their quantum mechanical properties. When this time is sufficiently long, oversight correction schemes become efficacious making it feasible to accomplish long and complicated calculations.

    There are many viable systems that can potentially lead to a functional quantum computer. IBM is focusing on using superconducting qubits that will allow a more facile transition to scale up and manufacturing.

    IBM has recently been experimenting with a unique "three dimensional" superconducting qubit (3D qubit), an approach that was initiated at Yale University. Among the results, the IBM team has used a 3D qubit [technical paper available] to extend the amount of time that the qubits retain their quantum states up to 100 microseconds. This value reaches just past the minimum threshold to enable efficacious oversight correction schemes and suggests that scientists can commence to focus on broader engineering aspects for scalability.

    In part experiments, the group at IBM moreover demonstrated a more traditional "two-dimensional" qubit (2D qubit) device and implemented a two-qubit logic operation – a controlled-NOT (CNOT) operation [technical paper available], which is a fundamental edifice bury of a larger quantum computing system. Their operation showed a 95 percent success rate, enabled in Part due to the long coherence time of nearly 10 microseconds. These numbers are on the cusp of efficacious oversight correction schemes and greatly facilitate future multi-qubit experiments.

    IBM and Quantum Computing Leadership

    The implementation of a practical quantum computer poses tremendous scientific and technological challenges, but totality results taken together paint a very benign picture for realizing the first practical quantum computer in the not too distant future.

    Core device technology and performance metrics at IBM possess undergone a progression of astounding advancements by a factor of 100 to 1,000 times since the middle of 2009, culminating in the recent results that are very proximate to the minimum requirements for a full-scale quantum computing system as determined by the world-wide research community. In these advances, IBM stresses the import and value of the ongoing exchange of information and learning with the quantum computing research community as well as direct university and industrial collaborations.

    "The superconducting qubit research led by the IBM team has been progressing in a much focused passage on the road to a reliable, scalable quantum computer. The device performance that they possess now reported brings them nearly to the tipping point; they can now descry the edifice blocks that will live used to prove that oversight correction can live effective, and that dependable rational qubits can live realized," observes David DiVincenzo, professor at the Institute of Quantum Information, Forschungszentrum Juelich.

    Based on this progress, optimism about superconducting qubits and the possibilities for a future quantum computer are rapidly growing. While most of the labor in the realm to date has focused on improvements in device performance, efforts in the community now must now involve systems integration aspects, such as assessing the classical information processing demands for oversight correction, I/O issues, feasibility, and costs with scaling.

    IBM envisions a practical quantum computing system as including a classical system intimately connected to the quantum computing hardware. Expertise in communications and packaging technology will live essential at and beyond the flush presently practiced in the development of today's most sophisticated digital computers.



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