Detecting Version Number Attacks in Low Power and Lossy Networks for Internet of Things Routing: Review and Taxonomy

Author:

Alfriehat Nadia A.1ORCID,Anbar Mohammed1ORCID,Karuppayah Shankar1ORCID,Rihan Shaza Dawood Ahmed2,Alabsi Basim Ahmad2ORCID,Momani Alaa M.3

Affiliation:

1. National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia (USM), Penang, Malaysia

2. Applied College, Najran University, Najran, Saudi Arabia

3. School of Computing, Skyline University College, University City of Sharjah, Sharjah, United Arab Emirates

Funder

Deanship of Scientific Research at Najran University through the General Research Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 4 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. RPL-based attack detection approaches in IoT networks: review and taxonomy;Artificial Intelligence Review;2024-08-12

2. Optimizing Energy and Performance in Wireless Sensor Networks for IoT Applications Using CR-MSGT, SDN, and Gaussian Filters;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

3. DE2RA-RPL: detection and elimination of resource-related attacks in IoT RPL-based protocol;The Journal of Supercomputing;2024-06-23

4. Exploring and mitigating hybrid rank attack in RPL-based IoT networks;Journal of Electrical Engineering;2024-06-01

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