A holistic framework for prediction of routing attacks in IoT-LLNs

Author:

Sahay RashmiORCID,Geethakumari G.,Mitra Barsha

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference46 articles.

Cited by 10 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. Dair-mlt: detection and avoidance of IoT routing attacks using machine learning techniques;International Journal of Information Technology;2024-03-19

2. A Bibliometric Analysis and Comprehensive Overview of Security Attacks Against RPL in IoT Networks;EAI/Springer Innovations in Communication and Computing;2024

3. Emerging Challenges and Solutions in RPL Protocol: Research Review;2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD);2023-11-06

4. Study on Blockchain-Integrated IoT;Concepts, Technologies, Challenges, and the Future of Web 3;2023-10-20

5. Enhanced Rank Attack Detection Algorithm (E-RAD) for securing RPL-based IoT networks by early detection and isolation of rank attackers;The Journal of Supercomputing;2022-11-16

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