Machine Learning Based Intrusion Detection for IoT Botnet
Author:
Publisher
EJournal Publishing
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications
Link
http://www.ijmlc.org/vol11/1068-T1081.pdf
Cited by 22 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. StrucTemp-GNN: An Intrusion Detection Framework in IoT Networks Using Dynamic Heterogeneous Graph Neural Networks;Mobile, Secure, and Programmable Networking;2024
2. A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT;Internet of Things;2023-12
3. Botnet attacks classification in AMI networks with recursive feature elimination (RFE) and machine learning algorithms;Computers & Security;2023-12
4. Social Engineering Attacks Detection Approach;2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT);2023-10-13
5. Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window‐based attack detection in 6G;International Journal of Communication Systems;2023-07-11
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