Towards SDN-Enabled, Intelligent Intrusion Detection System for Internet of Things (IoT)

Author:

Muthanna Mohammed Saleh Ali1ORCID,Alkanhel Reem2ORCID,Muthanna Ammar3,Rafiq Ahsan4,Abdullah Wadhah Ahmed Muthanna5

Affiliation:

1. Institute of Computer Technologies and Information Security, Southern Federal University, Taganrog, Russia

2. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia

4. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

5. Department of Mathematics & Mechanics, Saint Petersburg State University, Saint Petersburg, Russia

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Southern Federal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 34 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. A comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things (IoT);Expert Systems;2024-09-14

2. Enhancing IoT scalability and security through SDN;Revista Română de Informatică și Automatică;2024-06-21

3. OptFBFN: IOT threat mitigation in software-defined networks based on fuzzy approach;Cluster Computing;2024-06-19

4. Advancing IoT security: a comprehensive AI-based trust framework for intrusion detection;Peer-to-Peer Networking and Applications;2024-06-01

5. Detecção de malware em ambientes IoT habilitados por SDN;Anais do XV Workshop de Pesquisa Experimental da Internet do Futuro (WPEIF 2024);2024-05-24

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