Expert System to Detect Suspicious Words in Online Messages for Intelligence Agency Using FP-growth Algorithm

As increase in technology where users are surrounded by social networks sites, it is very effortful job to track the suspicious words which are communicating between user that might lead to cybercrime and other terrorist activity. These Instant Message(IM) are difficult to intercept even by Intelligence Agency, as there are Millions of Messages sent over network. The proposed system predict the suspicious words used in SNS and delivers the detailed report of type of action happening. Ontology based Information extraction (OBIE) to retrieve specific domain and ARM (Association Rule Mining) and FP-growth Algorithm we can list out the frequently used suspicious word.