Review Of Intrusion Detection System Architectures in IoT-WSN‏ Network

Authors

  • Sara Mahdi Abboud Computer Science Department, College of Computer Science and Information Technology, University of AL- Qadisiyah, Iraq

DOI:

https://doi.org/10.29304/jqcsm.2026.18.22605

Keywords:

Intrusion Detection, Anomaly detection, Signature design, IoT security, WSN

Abstract

The rapid evolution of the Internet and the increased reliance on computerized services have exacerbated concerns about security, privacy, and confidentiality. Intrusion Detection Systems (IDSs) work with preventive controls by monitoring hosts and network traffic for suspicious activities or policy violations, and reporting alerts to operators or SIEM platforms. This work explores the deployment model (host-based vs. network-based) and the application domain (web applications, cloud environments, Internet of Things, wireless sensor networks, mobile ad hoc networks, and Voice over IP). We review representative research topics (e.g., alert reduction, honeypot-aided detection, botnet command-and-control discovery, SDN/OpenFlow-based IDS, and hybrid cloud-based IDS architecture), and summarize evaluation caveats such as the false positives/false negatives trade-off, data/feature bias, and resource-overhead challenges. 2.p4p3 Recommendations The paper offers some recommendations for aligning IDS design to threat models and deployment realities.

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Published

2026-06-19

How to Cite

Mahdi Abboud, S. (2026). Review Of Intrusion Detection System Architectures in IoT-WSN‏ Network. Journal of Al-Qadisiyah for Computer Science and Mathematics, 18(2), Comp 39–49. https://doi.org/10.29304/jqcsm.2026.18.22605

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Section

Computer Articles