Work place: Laboratory of Coding and Security of Information (LACOSI), Department of Electronic, Faculty of Electrical Engineering, University of Sciences and Technology of ORAN- Mohamed Boudiaf (USTO-MB), Algeria
E-mail: adda.alipacha@univ-usto.dz
Website:
Research Interests:
Biography
Adda Belkacem Ali-Pacha is a full Professor at the University of Sciences and Technology of Oran, Mohamed Boudiaf in Algeria. He is attached to the Coding and Security of Information Laboratory (LACOSI) in the Department of Electronic, and Electrical Engineering Faculty. He is also the Head of the Coding and Information Security Research Laboratory. His research focuses on Cryptography and Digital Communications.
E-mail: adda.alipacha@univ-usto.dz.
By Mohammed Abdessamad Goumidi Ehlem Zigh Naima Hadj-Said Adda Belkacem Ali-Pacha
DOI: https://doi.org/10.5815/ijcnis.2024.02.10, Pub. Date: 8 Apr. 2024
This paper proposes an intrusion detection system to prevent malicious node attacks that may result in failure links in wireless body area networks. The system utilizes a combination of Optimized Convolutional Neural Networks and Support Vector Machine techniques to classify nodes as malicious or not, and links as failure or not. In case of detection, the system employs a trust-based routing strategy to isolate malicious nodes or failure links and ensure a secure path. Furthermore, sensitive data is encrypted using a modified RSA encryption algorithm. The experimental results demonstrate the improved network performance in terms of data rate, delay, packet delivery ratio, energy consumption, and network security, by providing effective protection against malicious node attacks and failure links. The proposed system achieves the highest classification rate and sensitivity, surpassing similar methods in all evaluation metrics.
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