An approach for deceptive phishing detection and prevention in social networking sites using data mining and wordnet ontology

Breaches in Cyber Security due to phishing messages is traced from instant messages which are sent through Social Networking Sites (SNS), these breaches lead to disruptions in network communication and theft of personal identifiable information (PII) that leads to a plethora of consequences like identity theft and cyber fraud. To prevent these issues, a system is developed using Ontology based Information Extraction technique (OBIE) and Association rule mining (ARM) named as Anti Phishing Detection System (APDs) that detect and then predict the phishing activity by maintaining continuously updated phishing database consisting of information obtained from previous attempts to breach security; thus, intercept the phishing activity to help secure the user information. The experimental results obtained by APDs indicate a significant achievement compared to state-of-art systems.