Volume 20, Issue 1 (6-2023)                   JSDP 2023, 20(1): 159-170 | Back to browse issues page

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Mahmoudi-Nasr P, Rahmani A. An Intrusion Detection System for Wireless Body Area Networks. JSDP 2023; 20 (1) :159-170
URL: http://jsdp.rcisp.ac.ir/article-1-1108-en.html
University of Mazandaran
Abstract:   (127 Views)
Wireless Body Area Network (WBAN) is a pioneer trend in healthcare technology. Since any cyber-attack on a WBAN could jeopardize the patient's health, securing the WBAN plays a crucial role in healthcare applications. An intrusion detection system (IDS), as a second-line defense, is one of the security methods in computer networks. In this paper, a new IDS has been presented which is able to detect denial of service (DoS) attacks in a WBAN. In the proposed IDS, a genetic algorithm is used to select features of collected data, in a way that increases the performance of the IDS and as a result the WBAN. Then, using support vector machine and k nearest neighbor techniques, the data classification is performed to detect DoS traffic from regular data traffic. Simulation results indicate that the proposed IDS has effective performance with a 90% detection rate.
Article number: 10
Full-Text [PDF 1028 kb]   (65 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2020/01/6 | Accepted: 2023/02/22 | Published: 2023/08/13 | ePublished: 2023/08/13

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