GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection
Author:
Affiliation:
1. Indian Institute of Information Technology,Allahabad,India
2. THM University of Applied Sciences,Department of Business Informatics,Friedberg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9854928/9854933/09854947.pdf?arnumber=9854947
Cited by 6 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. Enhancing Cybersecurity in the Internet of Things Environment Using Bald Eagle Search Optimization With Hybrid Deep Learning;IEEE Access;2024
2. Dual Autoencoders for Network-Based Detection of BaIoT Attacks;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23
3. Machine Learning-Based Intrusion Detection for Rare-Class Network Attacks;Electronics;2023-09-16
4. A Comparison Study of Generative Adversarial Network Architectures for Malicious Cyber-Attack Data Generation;Applied Sciences;2023-06-14
5. Anomaly Detection and Multi-Output Classification of IoT Attacks;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26
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