Hybrid Intrusion Detection System for RPL IoT Networks Using Machine Learning and Deep Learning-Reference-Cited by-同舟云学术

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Hybrid Intrusion Detection System for RPL IoT Networks Using Machine Learning and Deep Learning

Published:2024 Issue: Volume:12 Page:113099-113112
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shahid Usama¹,Zunnurain Hussain Muhammad²^ORCID,Zulkifl Hasan Muhammad³^ORCID,Haider Ali⁴^ORCID,Ali Jibran⁵,Altaf Jawad⁶

Affiliation:

1. School of Business, Computing and Social Sciences, University of Gloucestershire, Cheltenham, U.K.

2. Department of Computer Science, Bahria University Lahore Campus, Lahore, Pakistan

3. Faculty of Information Technology, University of Central Punjab, Lahore, Pakistan

4. Senior Cyber Security Consultant, Dell SecureWorks, Providence, RI, USA

5. Resident Engineer at Premier Systems, Karachi, Pakistan

6. National College of Ireland (NCI), Dublin 1, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10634166.pdf?arnumber=10634166

Reference36 articles.

1. RPL-Based IoT Networks under Simple and Complex Routing Security Attacks: An Experimental Study

2. Routing Attacks and Countermeasures in the RPL-Based Internet of Things

3. Security concerns over IoT routing using emerging technologies: A review

4. Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks

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