Review of IoT Cyber Security in Network Intrusion Detection

Alfia Khan, Anil Kumar Sharma
Page No: 73-77
Download PDFAbstract:
The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on everyday life to large industrial systems. Unfortunately, this has attracted the attention of cybercriminals who made IoT a target of malicious activities, opening the door to a possible attack on the end nodes. To this end, Numerous IoT intrusion detection Systems (IDS) have been proposed in the literature to tackle attacks on the IoT ecosystem, which can be broadly classified based on detection technique, validation strategy, and deployment strategy. This survey paper presents a comprehensive review of contemporary IoT IDS and an overview of techniques, deployment Strategy, validation strategy and datasets that are commonly applied for building IDS.

Citations

APA: Alfia Khan, Anil Kumar Sharma (2025). Review of IoT Cyber Security in Network Intrusion Detection. DOI: DOI:10.86493/OTJ.2534807

AMA: Alfia Khan, Anil Kumar Sharma. Review of IoT Cyber Security in Network Intrusion Detection. 2025. DOI: DOI:10.86493/OTJ.2534807

Chicago: Alfia Khan, Anil Kumar Sharma. "Review of IoT Cyber Security in Network Intrusion Detection." Published 2025. DOI: DOI:10.86493/OTJ.2534807

IEEE: Alfia Khan, Anil Kumar Sharma, "Review of IoT Cyber Security in Network Intrusion Detection," 2025, DOI: DOI:10.86493/OTJ.2534807

ISNAD: Alfia Khan, Anil Kumar Sharma. "Review of IoT Cyber Security in Network Intrusion Detection." DOI: DOI:10.86493/OTJ.2534807

MLA: Alfia Khan, Anil Kumar Sharma. "Review of IoT Cyber Security in Network Intrusion Detection." 2025, DOI: DOI:10.86493/OTJ.2534807