Fake Profile Identification in Social Network

Authors

  • Santosh Kumar Mehta  Department of CSE, Konark Institute of Science and Technology, Bhubaneswar, Odisha, India
  • L.N. Padhy  Department of CSE, Konark Institute of Science and Technology, Bhubaneswar, Odisha, India
  • Rajesh Kumar Gupta  Department of CSE, Konark Institute of Science and Technology, Bhubaneswar, Odisha, India

Keywords:

Online Social Networks (OSN), Facebook Immune System (FIS), phishing, Social Networking Sites (SNS).

Abstract

In present generation, the social life of everyone has become associated with the social networking Sites. The time spent on sites like Facebook or LinkedIn is constantly increasing at an impressive rate. At the same time, users populate their online profile with lots of information that aims at providing a complete representation of themselves. But with their rapid growth, it creates many problems like fake profiles, online impersonation. Fake account means malicious users of social networks to send spam, commit fraud. A single malicious actor may create thousands of fake accounts in order to scale their operation to reach the maximum number of legitimate members. In this paper focus is made on social networks for detection of fake profile. An attempt has been made to analysis various existing techniques that include comparison in perspective of various applications mapping various performance parameters.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-08-31

Issue

Volume 2, Issue 4, July-August-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Santosh Kumar Mehta, L.N. Padhy, Rajesh Kumar Gupta, " Fake Profile Identification in Social Network, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.733-737, July-August-2017.