A Study of an Intrusion Detection System in IoT Environment

Authors

  • Mohanad Ridha Ghanim Department of Computer Science, College of Education, Baghdad, Iraq
  • Rafal Naser Saleh Department of Computer Science, College of Education, Baghdad, Iraq
  • Farah Neamah Abbas Department of Computer Science, College of Education, Baghdad, Iraq

DOI:

https://doi.org/10.31695/IJASRE.2024.7.5

Keywords:

Internet of Things, Intrusion Detection System, Intrusion Prevention System, Machine Learning, Network Security

Abstract

The fast development and widespread use of IoT gadgets in recent years have altered many aspects of our lives, from wearable technology and smart homes to healthcare systems and industrial automation. However, the extraordinary expansion of interconnected IoT devices also brings various security issues that open them to cyber threats. Intrusion Detection Systems (IDS) have become essential elements of IoT security systems to reduce these risks. To thoroughly grasp the subject’s state, this literature review will examine the current research and technological developments in IoT IDS. This literature review covers the architecture of the IoT, various security issues and attacks in IoT, security mechanisms for IoT, IoT IDS, the role of AI in IoT data security, and hybrid IoT IDS.

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How to Cite

Ridha Ghanim, M. ., Naser Saleh, R., & Neamah Abbas, F. (2024). A Study of an Intrusion Detection System in IoT Environment. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 10(7), 42–66. https://doi.org/10.31695/IJASRE.2024.7.5

Issue

Section

Review Article