Abstract. Evaluation of the effectiveness and robustness of reputation systems is important for the trust research community. However, existing testbeds are mainly simulation based and not flexible to perform robust-ness evaluation, and none of them is specifically designed to evaluate the robustness of reputation systems against unfair rating attacks. In this pa-per, we propose a novel comprehensive testbed by simulating three types of environments (simulated environments, real environments with simu-lated unfair rating attacks, and real environments with detected unfair ratings). The testbed incorporates sophisticated deception models and unfair rating attack models, and introduces several performance metrics to fully test and compare the...
Several distributed applications running over the Internet use Reputation Management Systems (RMSs) ...
Many online rating systems have been developed to provide its users a point of reference when ...
Reputation systems could help consumers avoid transaction risk by providing historical consumers’ fe...
Existing testbeds to evaluate reputation systems are mainly simulation based and are not flexible to...
Trust systems help users evaluate trustworthiness of partners, which support users to make decisions...
Online rating systems provide users with information to make decisions. However, these systems ma...
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratin...
In distributed environments, Reputation Management Systems (RMSs) aim to estimate agents' trustworth...
Unfair rating attacks happen in existing trust and reputation systems, lowering the quality of the s...
Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such sys...
The lack of an universal model in reputation systems makes it challenging to evaluate and compare th...
In distributed environments, where unknown entities cooperate to achieve complex goals, intelligent ...
A reputation system collects feedbacks from users and aggregates these feedbacks as evidence and gen...
Recently, online rating systems are gaining popularity. Dealing with unfair ratings in such systems ...
Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such sys...
Several distributed applications running over the Internet use Reputation Management Systems (RMSs) ...
Many online rating systems have been developed to provide its users a point of reference when ...
Reputation systems could help consumers avoid transaction risk by providing historical consumers’ fe...
Existing testbeds to evaluate reputation systems are mainly simulation based and are not flexible to...
Trust systems help users evaluate trustworthiness of partners, which support users to make decisions...
Online rating systems provide users with information to make decisions. However, these systems ma...
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratin...
In distributed environments, Reputation Management Systems (RMSs) aim to estimate agents' trustworth...
Unfair rating attacks happen in existing trust and reputation systems, lowering the quality of the s...
Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such sys...
The lack of an universal model in reputation systems makes it challenging to evaluate and compare th...
In distributed environments, where unknown entities cooperate to achieve complex goals, intelligent ...
A reputation system collects feedbacks from users and aggregates these feedbacks as evidence and gen...
Recently, online rating systems are gaining popularity. Dealing with unfair ratings in such systems ...
Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such sys...
Several distributed applications running over the Internet use Reputation Management Systems (RMSs) ...
Many online rating systems have been developed to provide its users a point of reference when ...
Reputation systems could help consumers avoid transaction risk by providing historical consumers’ fe...