Detecting Routing Protocol Low Power and Lossy Network Attacks Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Detecting Routing Protocol Low Power and Lossy Network Attacks Using Machine Learning Techniques

Published:2024-04-22 Issue: Volume:7 Page:57-62
ISSN:
Container-title:2024 21st International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

Kareem Aythem Khairi¹,Shaban Ali Muwafaq²,Adil Nafea Ahmed³,Aljanabi Mohammad⁴,Aliesawi Salah A. S.⁵,Mal-Ani Mohammed⁶

Affiliation:

1. General Directorate of Education in Anbar, Ministry of Education,dept. of Heet Education,Heet,Anbar,Iraq,31007

2. College of Computer Science and IT University of Anbar,dept. Information System,Ramadi,Iraq

3. College of Computer Science and IT University of Anbar,dept. Artificail inteligence,Ramadi,Iraq

4. dept. Imam Ja'afar AI-Sadiq University,Baghdad,Iraq

5. College of Computer Science and Information Technology University of Anbar,dept. Computer Science,Ramadi,Iraq

6. Universiti Kebangsaan Malaysia (UKM),Faculty of Information Science and Technology,dept. Center for Artificial Intelligence Technology (CAIT),Bangi,Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548020/10548008/10549143.pdf?arnumber=10549143

Reference44 articles.

1. Intelligent Reflecting Surface Enhanced User Cooperation in Wireless Powered Communication Networks

2. Security and Privacy Preservation for Data Communication Network

3. An Extensive Examination of the IoT and Blockchain Technologies in Relation to their Applications in the Healthcare Industry

4. Intelligent Detection of Distributed Denial of Service Attacks: A Supervised Machine Learning and Ensemble Approach

5. Data aggregation techniques in wireless sensors networks (WSNs): Taxonomy and an accurate literature survey