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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | FAKE USER IDENTIFICATION AND TRUST BASED IMAGE SHARING IN SOCIAL NETWORK |
| Authors Name: | A.Reeta Joldrine , D.Elamathi , S.Revathi , V.Sruthi , B.Vaisnavi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219092
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| Published Paper Id: | IJNRDTH00133 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Social network security, Fake account detection, Classification, Support Vector Machine. |
| Cite Article: | "FAKE USER IDENTIFICATION AND TRUST BASED IMAGE SHARING IN SOCIAL NETWORK", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.759-823, April-2024, Available :http://www.ijnrd.org/papers/IJNRDTH00133.pdf |
| Downloads: | 00046 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRDTH00133 Registration ID: 219092 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 759-823 Country: Perambalur, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRDTH00133 Published Paper PDF: https://www.ijnrd.org/papers/IJNRDTH00133 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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