ESMD: Enhanced Suspicious Message Detection Framework in Instant Messaging Applications

The excessive use of Instant Messaging Applications (IMA) and Social Networking Sites (SNS) has tremendously increased the suspicious information sharing activity which in turn is effectively used for evil purposes too. Many of terrorist and extremist organizations use these as a means of latent untraced communication for criminal activities. Surveillance of instant messages which usually include abbreviated or short-form words with malicious intent are difficult to detect. These words cannot be detected by an earlier OSMD surveillance tool, resulting in the concealment of suspicious messages. For detecting suspicious messages, the SFC program is proposed for OSMD which is renamed as Enhanced Suspicious Message Detection (ESMD) Framework that converts short form into full-form words and then categorizes the type of crime. Further, ontology-based information extraction technique (OBIE) and logical predefined rules are used for the detection of suspicious words from domain experts blended with the information taken from historical knowledge of suspicious dataset i.e., GTD (Global Terrorism Database).