Network Intrusion Detection on the IoT Edge Using Adversarial Autoencoders
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9491111/9491112/09491694.pdf?arnumber=9491694
Cited by 9 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. An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing;Sensors;2024-04-07
2. Designing a modified feature aggregation model with hybrid sampling techniques for network intrusion detection;Cluster Computing;2024-02-17
3. A Lightweight Cooperative Intrusion Detection System for RPL-based IoT;Wireless Personal Communications;2024-02
4. IoT Security: A Deep Learning-Based Approach for Intrusion Detection and Prevention;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20
5. An analysis of Intrusion detection systems in IIoT;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06
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