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Title	A Review On Intrusion Detection Approaches In Resource-Constrained Iot Environment
ID_Doc	4267
Authors	Durga Bhavani A.; Mangla N.
Year	2022
Published	Lecture Notes on Data Engineering and Communications Technologies, 68
DOI	http://dx.doi.org/10.1007/978-981-16-1866-6_12
Abstract	The Internet of things (IoT) has advanced as an innovation to build smart situations such as industrial processes, home automation, smart cities, and environment monitoring. Smart and IoT devices exist in almost every walk of life recently. Since these devices are available in an Internet-connected environment, they are exposed to different vulnerabilities and attacks, typical of any Internet-connected system. Applying conventional intrusion detection and avoidance frameworks on these IoT devices is not practical because of the different asset imperatives in these devices regarding calculation, memory, and energy availability. This survey focuses on different techniques for intrusion detection and avoidance in an IoT environment. The aim of this work is to recognize open difficulties in intrusion detection and avoidance frameworks for the resource-constrained nature of the IoT environment. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Anomalies; Attacks; Constrained environment; Intrusion detection system (IDS); IoT

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