FAKE USER IDENTIFICATION AND TRUST BASED IMAGE SHARING IN SOCIAL NETWORK

Registration ID: IJNRD_219092

Published ID: IJNRDTH00133

DOI: Click Here to Get

A.Reeta Joldrine , D.Elamathi , S.Revathi , V.Sruthi , B.Vaisnavi

Social network security, Fake account detection, Classification, Support Vector Machine.

Online social networking has precipitated profound modifications inside the manner human’s communication and has interaction. In order to steal personal information, disseminate destructive activities, and publish fake information, attackers and imposters have been drawn to OSNs because of their rapid expansion and the vast amounts of personal data that its users have provided. The proposed OSN focuses on identifying fraudulent accounts. To identify bogus accounts using criteria such as attribute similarity, friend network similarity and aadhar number verification. The user profile structure was examined and fake users were predicted using similarity calculations and classifier algorithms. It also supports age estimation based restriction process implementing for social responsibility. It also suggest an effective trust-based data sharing method that takes into account the permission needs of all involved parties when deciding whether to allow or prohibit the shared resources. To examine data privacy before sharing it with the public, a logical model of the suggested data sharing method is created. Here, a user is linked to a limited group of reliable users who were chosen from their social circle. Before being sent information to the public share, the user needs to get from the trustees at least k (i.e., recovery threshold) threshold values. This demonstrates that employing a dynamic threshold in accordance with the UCB policy might result in a larger pay-out than doing so with a fixed threshold. Also provide automatic download and share blocking approach for secure image sharing.

Published Paper   E-Certificate

A.Reeta Joldrine, D.Elamathi, S.Revathi, V.Sruthi, & B.Vaisnavi (April-2024). FAKE USER IDENTIFICATION AND TRUST BASED IMAGE SHARING IN SOCIAL NETWORK. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), 759-823. https://ijnrd.org/papers/IJNRDTH00133.pdf

Volume 9 Issue 4, April-2024

Pages : 759-823

Paper Reg. ID: IJNRD_219092

Published Paper Id: IJNRDTH00133

Downloads: 000121987

Research Area: Computer Engineering 

Country: Perambalur, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00133.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00133

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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