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

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