A comprehensive reputation-based trust model for distributed systems

Tajeddine, Ayman; Kayssi, Ayman; Chehab, Ali; Artail, Hassan

doi:10.1109/seccmw.2005.1588304

Cited by 16 publications

(9 citation statements)

References 10 publications

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“…These factors include level of trust between parties, likelihood of violation and impact of violation. In this context, trust is defined as a combination of several metrics used in electronic markets [18,19,20]. These metrics include personal metrics, such as transaction history, transaction cost and ability to verify results.…”

Section: Self-adaptive Service Monitoringmentioning

confidence: 99%

“…The environment supplies information about a particular party, including their recent activity and popularity in the environment. An example of environmental knowledge is a reputation authority [20].…”

Section: Risk Levelmentioning

confidence: 99%

“…The higher the number of successful interactions in the past, the higher the transaction history. This value also takes into consideration the effect of information decay, as proposed in [20]. In this context, information decay means that recent transactions influence transaction history more than transactions that occurred long ago.…”

Section: Risk Levelmentioning

confidence: 99%

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Self-adaptive service level agreement monitoring in cloud environments1

Clark

Warnier

Brazier

2013

MGS

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Cloud Service Providers offer access to hardware and software resources across the Internet. Cloud Service Providers and their clients negotiate Service Level Agreements (SLA) that specify terms and conditions of services. To ensure that an SLA is being honored by all parties the service is monitored. This paper proposes a monitoring approach that automatically adapts the monitoring process in realtime, based on user-specified policies. The monitor can both adapt the frequency of measurements and monitoring mode: active and passive. Active mode uses an external, trusted monitoring service. Passive mode minimizes interaction with an external monitoring service, relying instead on a mutual commit protocol to ensure SLA compliance. Monitor adaptation is determined by levels of perceived risk, defined by a user's policy. The self-adaptive SLA monitoring framework is realized using agent technology and is implemented and tested in the AgentScape middleware.

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Section: Self-adaptive Service Monitoringmentioning

confidence: 99%

Section: Risk Levelmentioning

confidence: 99%

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Self-adaptive service level agreement monitoring in cloud environments1

Clark

Warnier

Brazier

2013

MGS

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“…Direct trust is calculated and the value of direct trust is used to find the value of indirect trust. Gregor von laszewki [10] [12] propose an impressive reputation based trust model. In this approach the initiator host calculates reputation value of target host based on its previous experiences and gathered feedbacks from other hosts.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Trust Model for Improved Reliability in Grid

Srivaramangai¹,

Srinivasan²

2010

IJCA

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Grid computing and its related technologies will only be adopted by users, if they are confident that their data and privacy are secured and the system is as scalable, robust and reliable as of their own in their places. Trust and reputation systems have been recognized as playing an important role in decision making in the internet. Reputation based systems can be used in grid to improve the reliability of transactions. Reliability is the probability that a process will successfully perform it's prescribed task without failure at a given point of time. Hence ensuring reliable transactions plays a vital role in grid computing. To achieve reliable transactions mutual trust must be established between the initiator and the provider. This paper aims at providing a robust and reliable model by eliminating the feed backs of the entities which are not having any compatibility with it's own evaluation procedure, This model further applies two way test criteria for initiator and provider and also includes new expression for measuring direct trust.

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“…We have introduced many of them in Section 2.3. Tajeddine, Kayssi, Chehab, and Artail (2005) proposed a comprehensive reputation based trust model for distributed system. This approach requires that a host asks about the reputation of a target host that it wants to interact with.…”

Section: Solutions and Recommendationsmentioning

confidence: 99%

Trust Modeling and Management

Yan

Holtmanns

Examining the Concepts, Issues, and Implications of Internet Trolling

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This chapter introduces trust modeling and trust management as a means of managing trust in digital systems. Transforming from a social concept of trust to a digital concept, trust modeling and management help in designing and implementing a trustworthy digital system, especially in emerging distributed systems. Furthermore, the authors hope that understanding the current challenges, solutions and their limitations of trust modeling and management will not only inform researchers of a better design for establishing a trustworthy system, but also assist in the understanding of the intricate concept of trust in a digital environment.

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A comprehensive reputation-based trust model for distributed systems

Cited by 16 publications

References 10 publications

Self-adaptive service level agreement monitoring in cloud environments1

Self-adaptive service level agreement monitoring in cloud environments1

A Comprehensive Trust Model for Improved Reliability in Grid

Trust Modeling and Management

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