A Novel QoS-Oriented Intrusion Detection Mechanism for IoT Applications. (18th June 2021)

• Record Type: Journal Article
• Authors: Noorwali, Abdulfattah; Alvi, Ahmad Naseem; Khan, Mohammad Zubair; Javed, Muhammad Awais; Boulila, Wadii; Pattanaik, Priyadarshini A.
• Other Names: Qureshi Nawab Muhammad Faseeh Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2021(2021)
• Publication Date: 2021-06-18
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2021/9962697
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : Wireless sensor network (WSN) is an integral part of Internet of Things (IoT). The sensor nodes in WSN generate large sensing data which is disseminated to intelligent servers using multiple wireless networks. This large data is prone to attacks from malicious nodes which become part of the network, and it is difficult to find these adversaries. The work in this paper presents a mechanism to detect adversaries for the IEEE 802.15.4 standard which is a central medium access protocol used in WSN-based IoT applications. The collisions and exhaustion attacks are detected based on a soft decision-based algorithm. In case the QoS of the network is compromised due to large data traffic, the proposed protocol adaptively varies the duty cycle of the IEEE 802.15.4. Simulation results show that the proposed intrusion detection and adaptive duty cycle algorithm improves the energy efficiency of a WSN with a reduced network delay.