A Flexible Phishing Detection Approach Based on Software-Defined Networking Using Ensemble Learning Method
Meiqi Miao, Bin Wu · 2020
Phishing is a plague in cyberspace, in which threat actors try to lure unsuspecting victims to disclose their sensitive information like bank account or password. Existing detection techniques of phishing attacks in traditional networks generally use a proxy server to determine whether a website is a phishing website lacking flexibility. The flexibility of software-defined networks solves the limitation of traditional networks. Based on this, this paper proposes a new scalable phishing detection approach based on Software-Defined Networking (SDN) to identify phishing activities through web-based communications, which separates detection mechanism from end users with good accuracy and flexibility with ensemble learning method.