A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT
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 volum...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/4/629 |
| _version_ | 1797570949977997312 |
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| author | Junaid Arshad Muhammad Ajmal Azad Roohi Amad Khaled Salah Mamoun Alazab Razi Iqbal |
| author_facet | Junaid Arshad Muhammad Ajmal Azad Roohi Amad Khaled Salah Mamoun Alazab Razi Iqbal |
| author_sort | Junaid Arshad |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:33:39Z |
| format | Article |
| id | doaj.art-1e5cbe4c1e5941b7bc03bf9c1e626433 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T20:33:39Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-1e5cbe4c1e5941b7bc03bf9c1e6264332023-11-19T21:12:52ZengMDPI AGElectronics2079-92922020-04-019462910.3390/electronics9040629A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoTJunaid Arshad0Muhammad Ajmal Azad1Roohi Amad2Khaled Salah3Mamoun Alazab4Razi Iqbal5School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7AP, UKCollege of Engineering and Technology, School of University of Derby, Derby DE22 1GB, UKDepartment of Computer Science & IT, NED University of Engineering and Technology, Karachi 75270, PakistanDepartment of Electrical and Computer Engineering, Khalifa University, P.O. Box 127788 Abu Dhabi, UAECollege of Engineering, IT and Environment, Charles Darwin University, Casuarina NT 0810, AustraliaAl-Khawarizmi Institute of Computer Science, University of Engineering and Technology, Lahore 5400, PakistanInternet 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.https://www.mdpi.com/2079-9292/9/4/629internet of thingssecurity and privacyintrusion detectionperformance evaluationcomputation and energy overhead |
| spellingShingle | Junaid Arshad Muhammad Ajmal Azad Roohi Amad Khaled Salah Mamoun Alazab Razi Iqbal A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT Electronics internet of things security and privacy intrusion detection performance evaluation computation and energy overhead |
| title | A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT |
| title_full | A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT |
| title_fullStr | A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT |
| title_full_unstemmed | A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT |
| title_short | A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT |
| title_sort | review of performance energy and privacy of intrusion detection systems for iot |
| topic | internet of things security and privacy intrusion detection performance evaluation computation and energy overhead |
| url | https://www.mdpi.com/2079-9292/9/4/629 |
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