Notions of reputation in multi-agents systems

Mui, Lik; Mohtashemi, Mojdeh; Halberstadt, Ari

doi:10.1145/544805.544807

Cited by 19 publications

(15 citation statements)

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“…Agents can build models which identify malicious entities based on direct interaction with those entities; numerous algorithms exist for maintaining trust models based on direct interaction [23]. For example, Jonker and Treur propose both qualitative and quantitative trust metrics, which credit an agent's reputation when it produces a positive outcome, and discredit the agent's reputation when a negative outcome is produced [14].…”

Section: Trust In Agent Societiesmentioning

confidence: 99%

“…These models are often more robust and easier to build because information can be sent to other agents even if the attacked agent is in the process of being killed. In recommendation based reputation building, the trusting agent forms a trust model of the host by asking other agents in the system about their interactions with the host [23,33]. This method allows the trusting agent to form a reputation of the trustee without being exposed to the risk of direct cooperative interaction.…”

Section: Trust In Agent Societiesmentioning

confidence: 99%

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Security applications of trust in multi-agent systems

DeAngelis

Barber

2011

JCS

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The concept of trust as presented here focuses on the trustworthiness, or reliability, of information and information sources. Decision makers, or agents, can create judgments based on previous experience with other agents and by reputation information received from allied agents. These judgments, or trust assessments, are used to predict the behavior of other agents and analyze the trustworthiness, truthfulness, or quality of information. Research concepts have been developed within the trust community, and they are most commonly applied to multi-agent systems research. This work attempts to show that trust research can be directly applied to security problems. Modern trust concepts enforce soft security which can be applied in addition to conventional security methods to build a more robust secure system. This article examines two trust based techniques and demonstrates their basic effectiveness using empirical experimentation. These techniques are then applied in a case study drawn from a more robust domain concerning confidential message transmission. The benefits of applying trust-based techniques to secure a system are measurable, and the costs associated with such techniques are scalable to even the most resource constrained systems. Security applications of trust in multi-agent systems are human users, applications or systems. This online monitoring allows the identification of suspicious patterns and malicious or negligent intent. These trust-based processes can enrich the security of systems when combined with traditional security measures. The contribution of this work is the definition of trust as it relates to security problems and the demonstration of how it can be applied in several different ways.Supporting this concept, security expert Bruce Schneier has explained that security is not a product; it is a process [27]. Trust is certainly not a suitable replacement for existing security mechanisms in many cases, but the strengths of trust directly complement those of conventional security. By combining the strengths of trust research with those of conventional security methods, new security mechanisms can be developed that are flexible enough to accommodate unexpected system attacks.Trust is a current research field within the general arena of multi-agent systems. Software agents are self contained, autonomous, intelligent, proactive and goal driven entities [7]. Agents are well suited for and extensively used in many industrial and commercial applications. Some examples include: electronic commerce and e-markets, real time monitoring of telecommunication networks, improving traffic flow, automated scheduling, optimizing industrial processes and simulating complex social processes. One common theme among these applications is inherent distribution, meaning that information is distributed spatially, temporally, semantically and functionally. Another common theme is inherent complexity, meaning these problems are typically too large or impractical to solve using a single centralized system [32]. Becau...

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Section: Trust In Agent Societiesmentioning

confidence: 99%

Section: Trust In Agent Societiesmentioning

confidence: 99%

Security applications of trust in multi-agent systems

DeAngelis

Barber

2011

JCS

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“…This allows parties to gauge trust of reciprocation without previous interaction but there is potential for malicious or mis-leading reporting. This is particularly a problem for e-commerce systems and surveys relating to this are given in [5,18]. Note that ensuring accurate reporting of reputation naturally incentivizes node cooperation: if nodes in a system are associated with low cooperation levels they are not attractive for interaction with other nodes and therefore bad behaviour implies isolation from the system.…”

Section: Enforcement and Incentivesmentioning

confidence: 99%

Forming Social Networks of Trust to Incentivize Cooperation

Allen

Colombo

Whitaker

2009

2009 42nd Hawaii International Conference on System Sciences

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This paper introduces a new generic model to incentivize cooperation between parties that are engaged in the paradox of a social dilemma. The approach addresses the problem of direct reciprocity and uses the formation of collaborative relationships between individuals that are motivated by selfish behaviour: every individual seeks to interact with another that is at least as cooperative as itself. The establishment and maintenance of mutually beneficial relationships results in a dynamic social network where individuals cluster based on similarity of cooperation. Through prioritising these trusted relationships, the payoff an individual receives becomes positively correlated with their cooperation level. The model is demonstrated by individuals playing against each other via the single player prisoners dilemma game. The model is of particular relevance to contemporary distributed systems where there is no central authority to enforce cooperation yet unrelated parties are required to share their resources.

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“…Mui et al [12][13][14] define trust as "a subjective belief an agent has about another's future behaviour based on history of their encounters". This definition of trust by Mui et al is widely used in the literature by various researchers.…”

Section: Definitions Of Trustmentioning

confidence: 99%

“…Mui et al [12][13][14] define reputation as "a perception that an agent creates through past actions about its intentions and norms". This definition is similar to the definition of reputation by Abdul Rahman et al, in that it states that the reputation of an entity A is a perception or expectation held about it by other entity (ies), which is computed based on its past actions.…”

Section: Definitions Of Reputationmentioning

confidence: 99%

An Overview of the Interpretations of Trust and Reputation

Hussain¹,

Chang²

2007

The Third Advanced International Conference on Telecommunications (AICT'07)

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In this paper we present an overview of the definitions of the terms of trust and reputation from the literature. Trust and reputation have been defined in different ways by the various researchers. As a result of these various definitions of trust and reputation there is a lot of confusion regarding what these terms actually mean. Additionally in the literature there is no work towards collecting all the definitions of trust and reputation. In this paper we discuss and present an overview of the terms of trust and reputation from the literature.

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Notions of reputation in multi-agents systems

Cited by 19 publications

References 0 publications

Security applications of trust in multi-agent systems

Security applications of trust in multi-agent systems

Forming Social Networks of Trust to Incentivize Cooperation

An Overview of the Interpretations of Trust and Reputation

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