Research Article
Vulnerability Evaluation of Distributed Reputation Management Systems
@INPROCEEDINGS{10.4108/eai.25-10-2016.2266868, author={Vincenzo Agate and Alessandra De Paola and Giuseppe Lo Re and Marco Morana}, title={Vulnerability Evaluation of Distributed Reputation Management Systems}, proceedings={10th EAI International Conference on Performance Evaluation Methodologies and Tools}, publisher={ACM}, proceedings_a={VALUETOOLS}, year={2017}, month={5}, keywords={distributed reputation management security attacks evaluation metrics}, doi={10.4108/eai.25-10-2016.2266868} }- Vincenzo Agate
Alessandra De Paola
Giuseppe Lo Re
Marco Morana
Year: 2017
Vulnerability Evaluation of Distributed Reputation Management Systems
VALUETOOLS
ACM
DOI: 10.4108/eai.25-10-2016.2266868
Abstract
In distributed environments, Reputation Management Systems (RMSs) aim to estimate agents' trustworthiness by exploiting different sources of information. The distributed nature of these systems makes them vulnerable to several types of security attacks, and the response provided by a specific RMS depends on various factors, such as the algorithms adopted for estimating the reputation values and the communication protocols used to enable the cooperation among agents. This work examines the most important security attacks against RMSs and proposes a set of metrics for a quantitative evaluation of the RMS vulnerabilities. A parallel simulation framework is used to automatically give a vulnerability score to a RMS according to the computed metrics. Experiments performed on a case-study RMS show the effectiveness of the metrics we defined, and the convenience of using a simulation environment to support the design of a secure RMS.
