Title
DETECTION OF FAKE PROFILE
Abstract
: Online social networks are increasingly influencing how individuals interact with each other by exchanging their private and professional data. The social network is currently a common way to communicate with others that are spread across a variety of locations around the globe. When we speak about social networking then we can say that by sending them a request or readily sharing data with each other, anyone can readily make friends. An individual user can have numerous accounts at various social networking locations to maintain in contact with their colleagues. Most social network users are unaware of the multiple kinds of safety problems or assaults such as privacy violations, identity theft, etc. Anyone can readily generate a fake profile with a true user's name and the other users will think it's an authentic profile, they might acknowledge the fake friend application. It makes the network somewhat confusing and frustrating. In this document, we address fake profiles and the suggested scheme that can detect comparable fake social network profiles that can make it simpler to connect with others in a secure and effective way. . People are like to spend their much time on the social networking site. A vast amount of information is being developed and divided around the globe via social networks. These interests have led to unlawful users engaged in fraudulent activity against social network users. This paper focuses on the literature assessment of state-of-the-art social media studies that detect false profiles. False identities play a significant role in sophisticated persistent threats and are also engaged in other malicious operations. This paper focuses on the literature review of state-of - the-art studies directed at identifying false profiles in social media. The approaches to identifying fake social media accounts can be categorized into methods directed at analyzing individual accounts and approaches capturing coordinated operations spanning a large group of accounts. The paper sheds light on the role of fake identities in sophisticated constant threats and includes the above approaches to identifying fake social media accounts.
Key Words
Privacy violation, fake profile, fake identities, social network analysis
Cite This Article
"DETECTION OF FAKE PROFILE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.38-42, June 2019, Available :
http://www.jetir.org/papers/JETIR1906M04.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"DETECTION OF FAKE PROFILE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp38-42, June 2019, Available at : http://www.jetir.org/papers/JETIR1906M04.pdf
Publication Details
Published Paper ID: JETIR1906M04
Registration ID: 215557
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 38-42
Country: luckonw, up, India .
Area: Engineering
ISSN Number: 2349-5162
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