Several distributed applications running over the Internet use Reputation Management Systems (RMSs) to guarantee reliable interactions among unknown agents. Because of the heterogeneity of the existing RMSs, their assessment in terms of correctness and resistance to security attacks is not a trivial task. This work addresses this issue by presenting a novel parallel simulator aimed to support researchers in evaluating the performances of a RMS since the design phase. Preliminary results obtained by simulating two different attacks confirm the suitability of the proposed framework to evaluate different RMSs.

Agate, V., De Paola, A., Gaglio, S., Lo Re, G., Morana, M. (2016). A framework for parallel assessment of reputation management systems. In CompSysTech '16 - Proceedings of the 17th International Conference on Computer Systems and Technologies 2016 (pp. 121-128). Association for Computing Machinery [10.1145/2983468.2983474].

A framework for parallel assessment of reputation management systems

AGATE, Vincenzo;DE PAOLA, Alessandra;GAGLIO, Salvatore;LO RE, Giuseppe;MORANA, Marco
2016-01-01

Abstract

Several distributed applications running over the Internet use Reputation Management Systems (RMSs) to guarantee reliable interactions among unknown agents. Because of the heterogeneity of the existing RMSs, their assessment in terms of correctness and resistance to security attacks is not a trivial task. This work addresses this issue by presenting a novel parallel simulator aimed to support researchers in evaluating the performances of a RMS since the design phase. Preliminary results obtained by simulating two different attacks confirm the suitability of the proposed framework to evaluate different RMSs.
2016
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
9781450341820
Agate, V., De Paola, A., Gaglio, S., Lo Re, G., Morana, M. (2016). A framework for parallel assessment of reputation management systems. In CompSysTech '16 - Proceedings of the 17th International Conference on Computer Systems and Technologies 2016 (pp. 121-128). Association for Computing Machinery [10.1145/2983468.2983474].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/218458
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