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Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions

  • Published:2019 Issue: Volume:7 Page:61764-61785
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Koroniotis Nickolaos,Moustafa NourORCID,Sitnikova Elena

Funder

Commonwealth

Australian Government Research Training Program Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 92 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. Trusted Computing and Privacy Protection of Computer Internet of Things Nodes Based on Deep Fuzzy Control of Dynamic Learning Rate;International Journal of Fuzzy System Applications;2024-07-17

2. Botnet Detection in Distributed Network Using Machine Learning- A Detailed Review;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

3. Efficient Large-Scale IoT Botnet Detection through GraphSAINT-Based Subgraph Sampling and Graph Isomorphism Network;Mathematics;2024-04-25

4. Design and Comprehensive Review on Number of Different States of the Art Works Related to Botnet Attack Detection;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

5. Exploring Deep Learning Architectures for Enhanced Cyber Threat Detection: A Survey;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
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