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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	TRUST ASSESSMENT IN ONLINE SOCIAL NETWORKS
Authors Name:	Sreedhar Reddy , Saipriya Bethi , Muni Sekhar Velpuru , Ramesh Karnati
Unique Id:	IJSDR2209114
Published In:	Volume 7 Issue 9, September-2022
Abstract:	Assessing trust in Online Social Networks (OSN) is critical for many applications such as online marketing and network security. However, it is a challenging problem due to the difficulties of dealing with complex social network structures and making accurate assessment in these structures. To meet these challenges, we model confidence by proposing a three- valued subjective logic model (3VSL). 3VSL correctly formulates the uncertainties present in confidence, and is thus able to compute confidence in arbitrary graphs. We have theoretically demonstrated the ability of 3VSL on the basis of a Dirichlet- Categorical (DC) distribution and its validity in arbitrary OSN topologies. Based on the 3VSL model, we also design the Trust Assessment (AT) algorithm to accurately calculate the trust between any connected OSN users. We validate 3VSL against two real-world OSN data sets: Advogato and Pretty Good Privacy (PGP). Experimental results indicate that 3VSL can accurately model trust between any pair of indirectly connected Advoga to and PGP users.
Keywords:	Trust Assessment, Online Social networks, Three-valued Subjective Logic, Trust Model
Cite Article:	"TRUST ASSESSMENT IN ONLINE SOCIAL NETWORKS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 9, page no.732 - 735, September-2022, Available :http://www.ijsdr.org/papers/IJSDR2209114.pdf
Downloads:	000337071
Publication Details:	Published Paper ID: IJSDR2209114 Registration ID:201582 Published In: Volume 7 Issue 9, September-2022 DOI (Digital Object Identifier): Page No: 732 - 735 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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