Survey on Vigilance of Instant Messages in Social Networks Using Text Mining Techniques and Ontology
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Nowadays all illegal activities are happened using the communications in instant messages. Present framework for instant messenger have control over suspicious words but not in depth. It means present system could not find out all suspicious words. The proposed system is a framework, which predicts and highlights code words and short form of suspicious words with the help of association rule mining techniques and ontology concepts.Thus this proposed framework detects suspicious messages from instant messaging systems in early stage and helps to identify and predict the type of cyber threat activity and traces the offender details.