A Comprehensive Analyses of Intrusion Detection System for IoT Environment

• Published in: Journal of information processing systems 2020, 16(4), 64, pp.975-990
• Main Authors: Jose Costa Sapalo Sicato, 수실 쿠마르 싱, Shailendra Rathore, 박종혁
• Format: Article
• Language: English
• Subjects: 컴퓨터학
• ISSN: 1976-913X; 2092-805X
• DOI: 10.3745/JIPS.03.0144

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 realworld security and IoTrelated 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, cybersecurity threats challenges, and transparent problems and concerns are analyzed and discussed. In this paper, we propose softwaredefined 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. KCI Citation Count: 0