Anomaly Detection on IoT Network Intrusion Using Machine Learning

Author:

Liu Zhipeng,Thapa Niraj,Shaver Addison,Roy Kaushik,Yuan Xiaohong,Khorsandroo Sajad

Publisher

IEEE

Cited by 32 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. A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent;Computers and Electrical Engineering;2024-11

2. Dos attack detection using fuzzy temporal deep long Short-Term memory algorithm in wireless sensor network;Ain Shams Engineering Journal;2024-09

3. A Comprehensive Review of Internet-of-Things (IoT) Botnet Detection Techniques;Advances in Information Security, Privacy, and Ethics;2024-06-30

4. IoT Network Anomaly Detection Using Machine Learning and Deep Learning Techniques - Research Study;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

5. Big Data and the Application of IoT Systems;2024 IEEE World AI IoT Congress (AIIoT);2024-05-29

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