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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50037
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Social Networks represent a cornerstone of our daily life, where the so-called social reviewing systems (SRSs) play a key role in our daily lives and are used to access data typically in the form of reviews. Due to their importance, social networks must be trustworthy and secure, so that their shared information can be used by the people without any concerns, and must be protected against possible attacks and misuses. One of the most critical attacks against the reputation system is represented by mendacious reviews. As this kind of attacks can be conducted by legitimate users of the network, a particularly powerful solution is to exploit trust management, by assigning a trust degree to users, so that people can weigh the gathered data based on such trust degrees. Trust management within then dacious Reviews, Trust Degree, Fuzzy Logic, Theory of Evidence, Time- dependent Consensus, Content-dependent Consensus, Crown Consensus, Sockpuppet Attacks.
KEYWORDS
Publication Date
11/5/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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