An Efficient Phishing Attack Detection using Machine Learning Algorithms

Author:

Chinnasamy P.1,Kumaresan N.2,Selvaraj R.3,Dhanasekaran S.4,Ramprathap K5,Boddu Sruthi1

Affiliation:

1. MLR Institute of Technology,Department of Computer Science and Engineering,Hyderabad,India

2. Sri Eshwar College of Engineering,Department of Electronics and Communication Engineering,Coimbatore,India

3. Dr. N. G. P Institute of Technology,Department of Computer Science and Engineering,Coimbatore,India

4. Kalasalingam Academy of Research andEducation,Department of Information Technology,Srivilliputtur,India

5. M. Kumarasamy College of Engineering,Department of Management Studies,Karur,India

Publisher

IEEE

Reference30 articles.

1. Phishing URL Detection Using URL Ranking

2. Performance study of classification techniques for phishing URL detection

3. A novel approach for phishing detection using url-based heuristic;nguyen;Computing Management and Telecommunications (ComManTel) 2014 International Conference on,2014

4. “Phish mail guard: Phishing mail detection technique by using textual and URL analysis”

5. Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations;mishra;The International Journal of Electrical Engineering & Education 0020720921989015,2021

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