Phishing Detection: Machine Learning Implementation
Keywords:Phishing detection, Decision Tree, Machine Learning
Phishing attack is easiest way to obtain delicate information from innocent users. Aim of the phishers is to acquire crucial information like username, password and bank account details. Cyber security persons are now looking for reliable and steady detection techniques for phishing websites detection. The project uses machine-learning technology for detection of phishing URLs by extracting and analyzing various features of valid and phishing URLs. Decision Tree, Random forest algorithm is used to detect phishing websites. Aim of the project is to detect phishing URLs as well as narrow down to best machine learning algorithm by comparing accuracy rate, false positive and false negative rate of each algorithm.
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Copyright (c) 2021 Bhandary Prajwal Gopal Krishna, D. S. Rajesh, K. Prashanth Kumar
This work is licensed under a Creative Commons Attribution 4.0 International License.