OCIDS: An Online CNN-Based Network Intrusion Detection System for DDoS Attacks with IoT Botnets

Author:

Aydin Erim1,Bahtiyar Serif1

Affiliation:

1. Cyber Security and Privacy Research Laboratory, SPF Lab., Istanbul Technical University,Department of Computer Engineering,Istanbul,Turkey

Publisher

IEEE

Cited by 5 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. Smart network security using advanced ensemble-DDoS attack detection and hybrid JA-SLOA-linked optimal routing-based mitigation;Australian Journal of Electrical and Electronics Engineering;2024-04-21

2. MTD-RTPE: A Malicious Traffic Detection Method Based on Relative Time-Delay Positional Encoding;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

3. A Low-Cost Detection and Mitigation Method for Link Flooding Attacks in SDN;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

4. Prism: Real-Time Privacy Protection Against Temporal Network Traffic Analyzers;IEEE Transactions on Information Forensics and Security;2023

5. Hybrid Deep Learning-based Intrusion Detection System for Industrial Internet of Things;2022 5th International Symposium on Informatics and its Applications (ISIA);2022-11-29

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