Enhancing IoT Protocol Security Through AI and ML: A Comprehensive Analysis
Document Type
Conference Proceeding
Source of Publication
2024 International Symposium on Networks, Computers and Communications (ISNCC)
Publication Date
10-25-2024
Abstract
The proliferation of Internet of Things (IoT) devices has introduced numerous security challenges, driven by the widespread availability and rapidly increasing demand for smart devices and networks. Traditional security methods have struggled to keep pace with emerging threats, necessitating the developing of robust, continuously improved, and up-to-date security infrastructures. This paper investigates how Artificial Intelligence (AI) and Machine Learning (ML) techniques can enhance the security of IoT communication protocols. We explore current IoT routing protocols and analyze the potential of AI and ML in detecting attacks and identifying abnormal behaviours in smart devices and networks. Our research focuses on AI and ML-based security characteristics, as well as their application in improving IoT communication protocols.
DOI Link
ISBN
979-8-3503-6491-0
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
00
First Page
1
Last Page
7
Disciplines
Computer Sciences
Keywords
IoT security, AI techniques, ML applications, communication protocols, abnormal behavior detection
Recommended Citation
Shah, Babar; Junaid, Muhammad; and Habib, Mohammad, "Enhancing IoT Protocol Security Through AI and ML: A Comprehensive Analysis" (2024). All Works. 6951.
https://zuscholars.zu.ac.ae/works/6951
Indexed in Scopus
no
Open Access
no