A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks-Reference-Cited by-同舟云学术

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A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks

Published:2020-10-11 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Ullah Imtiaz,Mahmoud Qusay H

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9282733/9282811/09283220.pdf?arnumber=9283220

Cited by 40 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. CICIoV2024: Advancing realistic IDS approaches against DoS and spoofing attack in IoV CAN bus;Internet of Things;2024-07

2. IMTIBOT: An Intelligent Mitigation Technique for IoT Botnets;Future Internet;2024-06-17

3. Unveiling machine learning strategies and considerations in intrusion detection systems: a comprehensive survey;Frontiers in Computer Science;2024-06-10

4. CDA-PDDWE: Concept Drift-Aware Performance-Based Diversified Dynamic Weighted Ensemble for Non-stationary Environments;Arabian Journal for Science and Engineering;2024-03-29

5. A Comparison of Neural-Network-Based Intrusion Detection against Signature-Based Detection in IoT Networks;Information;2024-03-14

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