Behavioral analysis of internet messaging and malicious activity detection
Kotagiri Srividya, A. Mary Sowjanya · 2016
With the outburst in the growth of the social networking, it is alarming how the youth could become a victim of social trapping and psychological depressions. Nowadays internet messaging service plays a vital role in the social networking paradigm. Internet messaging which previously was meant for communication however turned out to have adverse effects on youth and country. Increased exposure and misuse of “chatting” has become a recent, common phenomenon. Internets messaging in social networking sites like Facebook, WhatsApp have also led to disastrous scenario where teenagers communicate through bawdy or explicit messages, and prowlers trap opposite genders. In this paper the methodology for dealing with such type of messages is discussed. First, text messages are processed through the algorithm which would predict the behavior of both the communicating parties. Eventually it would alarm if there is a malicious activity detected. This process majorly uses analysis of content using LSA (Latent Semantic Analysis) and other original algorithms for determining the context of the chat.