Phishing detection using traffic behavior, spectral clustering, and random forests
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6571725/6578763/06578788.pdf?arnumber=6578788
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Classification and Analysis of Malicious Code Detection Techniques Based on the APT Attack;Applied Sciences;2023-02-23
2. Using Clustering Algorithms to Automatically Identify Phishing Campaigns;IEEE Access;2023
3. Context-Based Clustering to Mitigate Phishing Attacks;Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security;2022-11-07
4. Detecting and Classifying Phishing Websites by Machine Learning;2021 3rd International Conference on Applied Machine Learning (ICAML);2021-07
5. Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0;Wireless Networks;2021-04-12
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