Social Network-Based Trust for Agent-Based Services

Khosravifar, Babak; Gomrokchi, Maziar

doi:10.1109/waina.2009.56

Cited by 11 publications

(8 citation statements)

References 9 publications

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“…When dealing with collusion, which can be defined as fake feedback resulting from malicious act between service providers and service consumers in order to alter the truthful performance, it has been proved in [14] that when truth telling strategy is encouraged by providing incentives, the proposed trust model outperforms competitive models in the literature in terms of cumulative utility gained and good selection percentage. This improvement is partially achieved thanks to the reputation assessment process that makes use of other agents opinions about service providers.…”

Section: Related Workmentioning

confidence: 99%

Scheduling Reputation Maintenance in Agent-based Communities Using Game Theory

M'hamdi¹

2012

JSW

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Abstract-In agent-based systems, agents can be organized within groups, called communities, where members are providing similar or complementary services. Agentbased communities of web services is an example of such systems. Managing reputation of each agent and of the whole community is a key issue towards securing this type of systems, where a controller agent is designed to observe and check the behavior of each member to update and maintain the system's reputation. Scheduling the maintenance activity by deciding about the moment where the check has to be done is still an open problem. Because it is highly expensive, maintenance cannot be done every moment or based on small history of agents' behaviors. We propose in this paper a scheduling algorithm that helps the controller agent improve the quality of the reputation mechanism, which increases the trust value of users toward the community. The proposed algorithm is based on a class of games called Bayesian Stackelberg. Our Bayesian Stackelberg game is designed between the controller agent and community members, for example agent-based web services. We simulate and compare the efficiency of our algorithm with other stochastic techniques, namely uniform, normal and Poisson distributions. This research draws the lines for future work in the subject of optimizing reputation mechanisms through maintenance in different time intervals.

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Section: Related Workmentioning

confidence: 99%

Scheduling Reputation Maintenance in Agent-based Communities Using Game Theory

M'hamdi¹

2012

JSW

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“…The effect of degree on trust is that it can be seen as a parameter which defines the extent to which a node would convey information about another node to the trustor [1]. A node that is reliable will have a higher outdegree than a node who is less reliable [1].…”

Section: )mentioning

confidence: 99%

“…A node that is reliable will have a higher outdegree than a node who is less reliable [1]. Indegree is the extent to which a node receives information about another node from the other nodes.…”

Section: )mentioning

confidence: 99%

Enhancing Digital Business Ecosystem trust and reputation with centrality measures

Isherwood

Coetzee

2011

2011 Information Security for South Africa

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Abstract-Digital Business Ecosystem (DBE) is a decentralised environment where very small enterprises (VSEs) and small to medium sized enterprises (SMEs) interoperate by establishing collaborations with each other. Collaborations play a major role in the development of DBEs where it is often difficult to select partners, as they are most likely strangers. Even though trust forms the basis for collaboration decisions, trust and reputation information may not be available for each participant. Recommendations from other participants are therefore necessary to help with the selection process. Given the nature of DBEs, social network centrality measures that can influence power and control in the network need to be considered for DBE trust and reputation. A number of social network centralities, which influence reputation in social graphs have been studied in the past. This paper investigates an unexploited centrality measure, betweenness centrality, as a metric to be considered for trust and reputation.

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“…a customer) and a trustee agent Ag b (e.g. a provider), three elements are used [3] Aga . Formally, we define a social network for service selection as follows: Definition 1 (Social Network).…”

Section: General Backgroundmentioning

confidence: 99%

Declarative and Numerical Analysis of Edge Creation Process in Trust-Based Social Networks

Khosravifar

Gomrokchi

2010

Declarative Agent Languages and Technologies VII

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Abstract. Online social networks are enjoying drastic increase in their population and connectivity. One of the fundamental issues in these networks is trust, which is an essential factor in quality of the connections among diverse nodes in the network. To address the efficiency in the interactions among nodes, we propose in this paper a trust-based architecture applicable to maintain interactions in multi-agent-based social networks. We provide a detailed discussion over the network formation by taking into account the edge creation factors classified as homophily, confounding and influence. We systematically inspire different involving factors to observe evolution of trust-based interconnections in a microscopic manner. We also provide declarative and numerical analysis of the proposed model and its assessment and discuss the system implementation, along with simulations obtained from a number of executions compared with the broadly known frameworks.

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Social Network-Based Trust for Agent-Based Services

Cited by 11 publications

References 9 publications

Scheduling Reputation Maintenance in Agent-based Communities Using Game Theory

Scheduling Reputation Maintenance in Agent-based Communities Using Game Theory

Enhancing Digital Business Ecosystem trust and reputation with centrality measures

Declarative and Numerical Analysis of Edge Creation Process in Trust-Based Social Networks

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