A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT

Arshad, Junaid and Azad, Muhammad Ajmal and Amad, Roohi and Salah, Khaled and Alazab, Mamoun and Iqbal, Razi (2020) A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT. Electronics, 9 (4). p. 629. ISSN 2079-9292

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Abstract

Internet of Things (IoT) forms the foundation of next generation infrastructures, enabling development of future cities that are inherently sustainable. Intrusion detection for such paradigms is a non-trivial challenge which has attracted further significance due to extraordinary growth in the volume and variety of security threats for such systems. However, due to unique characteristics of such systems i.e., battery power, bandwidth and processor overheads and network dynamics, intrusion detection for IoT is a challenge, which requires taking into account the trade-off between detection accuracy and performance overheads. In~this context, we are focused at highlighting this trade-off and its significance to achieve effective intrusion detection for IoT. Specifically, this paper presents a comprehensive study of existing intrusion detection systems for IoT systems in three aspects: computational overhead, energy consumption and privacy implications. Through extensive study of existing intrusion detection approaches, we have identified open challenges to achieve effective intrusion detection for IoT infrastructures. These include resource constraints, attack complexity, experimentation rigor and unavailability of relevant security data. Further, this paper is envisaged to highlight contributions and limitations of the state-of-the-art within intrusion detection for IoT, and~aid the research community to advance it by identifying significant research directions.

Item Type: Article
Identification Number: https://doi.org/10.3390/electronics9040629
Date: 10 April 2020
Uncontrolled Keywords: internet of things; security and privacy; intrusion detection; performance evaluation; computation and energy overhead
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cyber Security
Depositing User: Junaid Arshad
Date Deposited: 05 May 2020 07:55
Last Modified: 05 May 2020 07:55
URI: http://www.open-access.bcu.ac.uk/id/eprint/9206

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