Bayesian and non-Bayesian evidential updating
Artificial Intelligence
Contracting with uncertain level of trust
Proceedings of the 1st ACM conference on Electronic commerce
ICIS '00 Proceedings of the twenty first international conference on Information systems
An agent-based approach for building complex software systems
Communications of the ACM
Social trust: a cognitive approach
Trust and deception in virtual societies
Prisoner's Dilemma: John Von Neumann, Game Theory and the Puzzle of the Bomb
Prisoner's Dilemma: John Von Neumann, Game Theory and the Puzzle of the Bomb
Notions of reputation in multi-agents systems: a review
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Consumer trust in an Internet store
Information Technology and Management
IEEE Intelligent Systems
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Trust in information sources as a source for trust: a fuzzy approach
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Understanding Trust Management Systems
SP '01 Proceedings of the 2001 IEEE Symposium on Security and Privacy
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
The Knowledge Engineering Review
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
A survey of trust in computer science and the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Smart cheaters do prosper: defeating trust and reputation systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Witness-Based Collusion and Trust-Aware Societies
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Towards con-resistant trust models for distributed agent systems
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A survey of trust in internet applications
IEEE Communications Surveys & Tutorials
Decision making matters: A better way to evaluate trust models
Knowledge-Based Systems
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Artificial societies—distributed systems of autonomous agents—are becoming increasingly important in open distributed environments, especially in e-commerce. Agents require trust and reputation concepts to identify communities of agents with which to interact reliably. We have noted in real environments that adversaries tend to focus on exploitation of the trust and reputation model. These vulnerabilities reinforce the need for new evaluation criteria for trust and reputation models called exploitation resistance which reflects the ability of a trust model to be unaffected by agents who try to manipulate the trust model. To examine whether a given trust and reputation model is exploitation-resistant, the researchers require a flexible, easy-to-use, and general framework. This framework should provide the facility to specify heterogeneous agents with different trust models and behaviors. This paper introduces a Distributed Analysis of Reputation and Trust (DART) framework. The environment of DART is decentralized and game-theoretic. Not only is the proposed environment model compatible with the characteristics of open distributed systems, but it also allows agents to have different types of interactions in this environment model. Besides direct, witness, and introduction interactions, agents in our environment model can have a type of interaction called a reporting interaction, which represents a decentralized reporting mechanism in distributed environments. The proposed environment model provides various metrics at both micro and macro levels for analyzing the implemented trust and reputation models. Using DART, researchers have empirically demonstrated the vulnerability of well-known trust models against both individual and group attacks. © 2012 Wiley Periodicals, Inc.