Deceptive Phishing Spying and Detection in Social Networking Sites Using Data Mining and Ontology

Deceptive phisher messages in social-networking-sites (SNS) are often the source of cybersecurity breaches, resulting in spying of privacy information (PI) leading towards cyber identity thefting. To address this issue Anti-Phisher Detection System (APDs) has been designed, utilizing Ontology-Integrated Information Extraction (OIIE) and Association-Rule Technique (ART) that pin-points which precisely predicts phishers activities and also updates the phishers database based on microblogs that attempted to disrupt security; thus, alerts the social users by intimating them to secure privacy information from phishers activities and generating a report for cybercrime department for adequate action. APDs is tested by taking certain spim from SNS and identified its prediction as Financial_domain with a precision of 66.66% depicted in Fig. 5. The result of APDs demonstrates the significant improvement over earlier systems, briefly discussed in Section IV.