Phishing Websites, Detection and Analysis: A Survey

Author:

Sakri Leena I.,Nikkam Pushpalatha S.,Kulkarni Madhuri,Kamath Priyanka,Bhat Shreedevi Subrahmanya,Kamat Swati

Publisher

Springer Singapore

Reference40 articles.

1. Feng, F., Zhou, Q., Shen, Z., Yang, X., Han, L., Wang, J.Q.: The Application of a Novel Neural Network in the Detection of Phishing Websites (2018)

2. Kaytan, M., Hanbay, D.: Effective Classification of Phishing Web Pages Based on New Rules by Using Extreme Learning Machines 2017.

3. Al-Sariera, Y.A., Adeyemo, V.E., Balogunand, A.O., Alazzawi, A.K.: AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites, 2017

4. Alseriera, Y.A., Elijah, A.V., Balogun, A.O.: Phishing Website Detection: Forest by Penalizing Attributes Algorithm and Its Enhanced Variations, 2020

5. Abutair, H.Y.A., Belghith, A.: Use Case Based Reasoning for Phishing Detection, 2017

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