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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: | UNMASKIG DECEPTION: LEVERAGING AI FOR ADVANCED DETECTION AND MITIGATION OF FAKE SOCIAL MEDIA PROFILES |
| Authors Name: | T.Anto Theepak , Karthick V |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218090
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| Published Paper Id: | IJNRD2404356 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The encroachments in Online Social Networks (OSN) or Online Social Media Network Applications (OSMNA) are the crucial domain in which the user can share the data among the group of people or organizations to express the opinion of their choice. Every type of OSN shares the common property as providing the users for creating free account registrations. Therefore the OSN has turned into an essential part in the day to day social sharing. Thousands of users enlist and share individual data with others. These days, recognizing a user with various interpersonal organization accounts is an imperative tricky. Recent propositions claims that those approaches successfully recognize similar individual crosswise over the two comparative informal community accounts by utilizing bound together strategy. Therefore, with this key intention of effectual techniques, the proposed thesis is developed using more powerful way just before discovering the most vital client secrecy and forged records with related sequential and additionally numerical methodologies for intermediary client location in Online Social Networks (OSN). By considering a benchmark in which it joins two sequential credit or feature of users. So, on order to Distinguish the individual the proposed approach adopts a Bi-Gram viii pseudo system which is utilized in relating information that is helpful toward common client anonymity location methods. |
| Keywords: | Fake Social Media Account Detection |
| Cite Article: | "UNMASKIG DECEPTION: LEVERAGING AI FOR ADVANCED DETECTION AND MITIGATION OF FAKE SOCIAL MEDIA PROFILES ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d491-d503, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404356.pdf |
| Downloads: | 00043 |
| 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:IJNRD2404356 Registration ID: 218090 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d491-d503 Country: Tirunelveli , Tamil Nadu , India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404356 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404356 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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