A Review on Various Approaches for Detection of Cyber Crimes via Instant Messaging Filters
Pages : 235-237
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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.
Keywords: SNS, IMS, NLP, Information Extraction, Suspicious message.
Article published in International Journal of Current Engineering and Technology, Vol.5, No.1 (Feb-2015)