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An Intelligent Cyber Security Phishing and Cyber Bullying Detection System Using Machine Learning Approach
Author Name : Nanditha Balamurali, Nisha Basil, Shreya H Prabhu, T C Sanika, Ms. Jismy Mathew
ABSTRACT
Phishing is a form of social engineering attack which affects millions of people every year. With the advancement of technology in recent times, the number of crimes related to phishing has increased exponentially. It has led to a loss of millions of dollars per year. Phishing spreads via e-mail, SMS, instant messaging, social networking, etc. With the increasing number of cases, it is important to provide a layer of protection on the user's side. Cyberbullying, also referred as cyber harassment, is a form of bullying or harassment using electronic means. It is mainly common among teenagers. With the expansion of technology, the number of cyberbullying cases has drastically increased in recent times. Cyberbullying includes threats, rude tweets, aggressive texts, posting pictures, videos or personal information which can harm others. The proposed system aims to address these issues by integrating a phishing website classification and cyberbullying detection system. It seeks to build a highly accurate classification model for identifying phishing websites, emails, and cyber-bullying activities using various machine learning techniques.