Automated Malware and Phishing Website Detection Using Cluster Ensemble Techniques for Cybercrime Prevention

Abstract-Cybercrime is a specialised field that use internet communication networks to enhance the identification of cyber offenders via cyber laws. Extensive study is being undertaken to provide appropriate legal methodologies for preventing and regulating cybercriminal activity. Malware and phishing detection have become as prominent subjects in the last decade because to the harm they inflict on internet users. The identification of phishing websites is a novel area in the discipline. Phishing websites are regarded as a significant threat for the exploitation of personal information for the benefit of cybercriminals. This research presents an automated classification system designed to identify malware and phishing websites by integrating several clustering techniques using a cluster ensemble approach. .