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Marcianò, A., Rosaci, D., Sarnè, G. (2023). A Strategy to Detect Colluding Groups by Reputation Measures. In WOA 2023, Proceedings of the 24th Workshop "From Objects to Agents", Roma, Italy, November 6-8, 2023 (pp.92-105). Aachen : CEUR-WS.

A Strategy to Detect Colluding Groups by Reputation Measures

Sarnè, GML
2023
paper
Collusion is the malicious activity mostly frequent in agent-based recommender systems in which two or more agents agree with each other to mutually exchange high positive feedback in order to gain undue advantages by altering the correct computation of reputation measures in their agent communities. Therefore, identification of colluding agents is an important issue and several strategies have been developed to this purpose. Among them, the EigenTrust algorithm is well known, although it is limited by the necessity of knowing a priori which agents are considered as trustworthy and the impossibility of recognizing several groups of colluding agents acting simultaneously and autonomously. The focus of this paper is dealing with the above issues and, to this end, we will present a strategy to support EigenTrust both providing the necessary inputs about pre-trusted agents and recognizing groups of malicious agents. In particular, we combined EigenTrust with a clustering process in order to suitably grouping the agents according to their reputation scores. We carried out a preliminary tests which have shown promising results about the effectiveness of the proposed strategy.
English
WOA 2023: 24th Workshop “From Objects to Agents”
2023
Falcone, R; Castelfranchi, C; Sapienza, A; Cantucci, F
WOA 2023, Proceedings of the 24th Workshop "From Objects to Agents", Roma, Italy, November 6-8, 2023
CEUR WORKSHOP PROCEEDINGS
nov-2023
2023
3579
92
105
https://ceur-ws.org/Vol-3579/paper7.pdf
open
Marcianò, A., Rosaci, D., Sarnè, G. (2023). A Strategy to Detect Colluding Groups by Reputation Measures. In WOA 2023, Proceedings of the 24th Workshop "From Objects to Agents", Roma, Italy, November 6-8, 2023 (pp.92-105). Aachen : CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/463039
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