Artificial Intelligence
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Algebraic Structures Related to Dempster-Shafer Theory
IPMU'94 Selected papers from the 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Advances in Intelligent Computing
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Running up the bid: detecting, predicting, and preventing reserve price shilling in online auctions
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
An auctioning reputation system based on anomaly
Proceedings of the 12th ACM conference on Computer and communications security
Inference of Online Auction Shills Using Dempster-Shafer Theory
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Analysing Bidding Trends in Online Auctions
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Combining statistics and arguments to compute trust
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Conflicts within and between belief functions
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Detecting fraudulent personalities in networks of online auctioneers
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Belief functions contextual discounting and canonical decompositions
International Journal of Approximate Reasoning
Bayesian network based trust management
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Survey: Combating online in-auction fraud: Clues, techniques and challenges
Computer Science Review
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The communication within Internet auction systems proceeds as a rule under the situation in which users are not in physical contact nor they do not know anything of each other. They have therefore to rely on reputation mechanisms implemented within these online systems. Such mechanisms help to create a trustworthy environment on the basis of additional attributes associated with users and their roles. The trustworthy environment in online auction systems (trust of the system itself and trust among users of this virtual world) is the essential element for these systems functioning. This paper introduces a trust model based on reputation while it takes into account possible fraudulent behavior of users in online auctions as contextual information. The reputation is calculated from user's evaluations (feedback) following performed transactions. Information about possible fraudulent behavior is additional information determining the reliability of the user's reputation in our trust model. Reputation and fraudulent behavior are expressed in a form of belief functions and the resulting user's trustfulness is calculated. The case study shows that the proposed approach is valid and may be applicable in real online auctions.