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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50037

Trust Evaluation Framework for Social Review Platforms

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50037

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM50037

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.

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Authors

PRp

P. Rajendra prasad

2L

2M. Lavanya

3V

3D. Vineetha

4P

4P. Pavani

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Abstract

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.

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Cite This Article

P. Rajendra prasad, 2M. Lavanya, 3D. Vineetha, 4P. Pavani, "Trust Evaluation Framework for Social Review Platforms," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/IJSREM50037

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Publication Date

11/5/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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