6533b826fe1ef96bd1283d12

RESEARCH PRODUCT

Vulnerability evaluation of distributed reputation management systems

Vincenzo AgateGiuseppe Lo ReAlessandra De PaolaMarco Morana

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSecurity attackComputer sciencemedia_common.quotation_subjectVulnerability020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genreSet (abstract data type)Parallel simulationTrustworthinessDistributed reputation management020204 information systemsVulnerability evaluation0202 electrical engineering electronic engineering information engineeringData miningCommunications protocolcomputerInstrumentationReputation managementEvaluation metricReputationmedia_common

description

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.

10.4108/eai.25-10-2016.2266868http://hdl.handle.net/10447/244843