Title: A comprehensive survey on fuzzy-based intelligent intrusion detection system for internet of things
Authors: U. Nandhini; S.V.N. Santhosh Kumar
Addresses: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Abstract: Internet of things (IoT) is rapidly expanding, and it is having a greater impact on daily life. The internet of things is widely applied in a wide range of industries, from small to large. IoT-based is a collection of distributed smart devices with software that is capable of detecting data from a sensing domain, collaborate, and transmit the sensed data to a sink via internet as a backbone using multi-hop communication. Due to its resource constrained nature and also since the communication between the devices takes place via an open channel, providing security and monitoring the behaviour of the devices is a major challenge. It attracts cybercriminals attention, which have made IoT an easy target for malicious attacks. In the literature, various IoT-based intrusion detection systems (IDSs) have been proposed to address the security challenges of the IoT network. In this paper, a survey on fuzzy-based IDSs is carried out for highlighting their contribution and limitations with reference to intrusion detection accuracy, false positive rate and overall network performance. Moreover, this survey provides a detail analysis on fuzzy-based intrusion detection systems which aims in analysing intrusion detection accuracy and minimising false data rate to show the way for the future direction.
Keywords: intrusion detection system; IDS; internet of things; IoT; security; malicious attacks; soft computing.
International Journal of Information and Computer Security, 2023 Vol.21 No.3/4, pp.383 - 398
Received: 16 Nov 2021
Accepted: 06 Feb 2022
Published online: 09 Aug 2023 *