A HYBRID MACHINE LEARNING BASED APPROACH OF URL FRAUD DETECTION

A HYBRID MACHINE LEARNING BASED APPROACH OF URL FRAUD DETECTION

Rampam Pavan Kalyan1, Maddirala Mukesh2, Chagalamarri Hemamber3 ,Dinesh Thunga4

123Department of Computer Science and Engineering & CHRIST (DEEMED TO BE UNIVERSITY)

4Department of Mechanical Engineering & CHRIST (DEEMED TO BE UNIVERSITY)

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Abstract - Phishing is widely used to scam people around the world. This attack is mainly used to steal the user’s information such as Debit/Credit card, passwords and other sensitive data. This attack can be enforced on large mob at a time so, anyone can be target. This attack is initiated by sending a fake URLs through email, social media but link appears to be so genuine sent right from original organization Thus, user tempts to enter the information. In this article our team is going to handle this kind of attacks. Using Machine learning techniques, our web app is to going to detect whether it is a phishing link or not

Key Words: Phishing, Support Vector Machine, Decision Tree classifier, Machine Learning, Cyber Security.