A Survey and Taxonomy of Anti-Phishing Techniques for Detecting Fake Websites
Author:
Affiliation:
1. GMR Insitute of Technology,Department of CSE,Rajam,Andhra Pradesh,India
2. Sikkim Manipal University,Department of CSE,East Sikkim,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985450/9985015/09985744.pdf?arnumber=9985744
Reference16 articles.
1. Stop-Phish: an intelligent phishing detection method using feature selection ensemble
2. A new hybrid ensemble feature selection framework for machine learning-based phishing detection system
3. Hybrid Cuckoo Search Algorithm with Iterative Local Search for Optimized Task Scheduling on Cloud Computing Environment
4. Intelligent Computing Method for Detecting Diabetic Retinopathy (DBRP)
5. A Deep Learning-Based Framework for Phishing Website Detection;lizhen;IEEE Access,2021
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1. A Consensus Protocol for Incentivizing Contribution from Decentralized Community for Machine Learning-based Scamming Website Detection;2023 International Conference on System Science and Engineering (ICSSE);2023-07-27
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