A Review on Various Approaches for Detection of Cyber Crimes via Instant Messaging Filters

Authors

  • Ankita M. Shendurkar G.H.R.C.E.M Department of Computer Science & Amravati University, India Author
  • Nitin R. Chopde G.H.R.C.E.M Department of Computer Science & Amravati University, India Author

Keywords:

SNS, IMS, NLP, Information Extraction, Suspicious message

Abstract

Instant messaging is popular and relatively new form of social interaction. Instant Messengers (IMs) and Social Networking Sites (SNS) may contain harmful and suspicious messages, which are untraced, leading to hindrance for network communication and cyber security. In this paper, we provided an introduction to various frameworks and review the details of different systems developed so far. Here we attempted to analysis various frameworks and classify them based on different factors, which leads to a better understanding on their operation. We also discuss the implementation details of these systems including the tools used by various authors and the metrics used to measure their performance.

References

Downloads

Published

2015-02-28

Issue

Section

Articles

How to Cite

A Review on Various Approaches for Detection of Cyber Crimes via Instant Messaging Filters. (2015). International Journal of Current Engineering and Technology, 5(1), 235-237. https://ijcet.evegenis.org/index.php/ijcet/article/view/1880