A Comprehensive Analyses of Intrusion Detection System for IoT Environment


Jose Costa Sapalo Sicato, Sushil Kumar Singh, Shailendra Rathore, Jong Hyuk Park, Journal of Information Processing Systems Vol. 16, No. 4, pp. 975-990, Aug. 2020  

10.3745/JIPS.03.0144
Keywords: IDS, IoT, M2M, Security, Privacy
Fulltext:

Abstract

Nowadays, the Internet of Things (IoT) network, is increasingly becoming a ubiquitous connectivity between different advanced applications such as smart cities, smart homes, smart grids, and many others. The emerging network of smart devices and objects enables people to make smart decisions through machine to machine (M2M) communication. Most real-world security and IoT-related challenges are vulnerable to various attacks that pose numerous security and privacy challenges. Therefore, IoT offers efficient and effective solutions. intrusion detection system (IDS) is a solution to address security and privacy challenges with detecting different IoT attacks. To develop an attack detection and a stable network, this paper’s main objective is to provide a comprehensive overview of existing intrusion detections system for IoT environment, cyber-security threats challenges, and transparent problems and concerns are analyzed and discussed. In this paper, we propose software-defined IDS based distributed cloud architecture, that provides a secure IoT environment. Experimental evaluation of proposed architecture shows that it has better detection and accuracy than traditional methods.


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Cite this article
[APA Style]
Jose Costa Sapalo Sicato, Sushil Kumar Singh, Shailendra Rathore, & Jong Hyuk Park (2020). A Comprehensive Analyses of Intrusion Detection System for IoT Environment. Journal of Information Processing Systems, 16(4), 975-990. DOI: 10.3745/JIPS.03.0144.

[IEEE Style]
J. C. S. Sicato, S. K. Singh, S. Rathore and J. H. Park, "A Comprehensive Analyses of Intrusion Detection System for IoT Environment," Journal of Information Processing Systems, vol. 16, no. 4, pp. 975-990, 2020. DOI: 10.3745/JIPS.03.0144.

[ACM Style]
Jose Costa Sapalo Sicato, Sushil Kumar Singh, Shailendra Rathore, and Jong Hyuk Park. 2020. A Comprehensive Analyses of Intrusion Detection System for IoT Environment. Journal of Information Processing Systems, 16, 4, (2020), 975-990. DOI: 10.3745/JIPS.03.0144.