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)
With the increasing popularity of social media platforms, fake profiles have become a significant concern for both individuals and organisations. Instagram is one such platform that has witnessed a surge in fake profiles used for various malicious purposes. This paper proposes a machine learning-based approach for detecting fake profiles on Instagram. Our system analyses multiple features of the shapes, such as the number of followers, posts, and likes, and uses these features to train a classifier to identify fake profiles. Our experimental results show that
our approach achieves high accuracy in detecting fake profiles on Instagram.
Keywords:
Cite Article:
"INSTAGRAM FAKE PROFILE DETECTION - A REVIEW", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.d17-d26, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307303.pdf
Downloads:
000118753
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
Facebook Twitter Instagram LinkedIn