Title: Data protection and threat prediction in industrial IoT cloud environment

Authors: Satish S. Salunkhe; Aditya Tandon; J. Thimmia Raja; S. Narayanan; Varsha; D. Ramkumar

Addresses: Computer Engineering Department, Terna Engineering College, India ' Department of CS&E, Krishna Engineering College, Ghaziabad, India ' School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India ' Department of Information Technology, SRM Valliammai Engineering College, Tamil Nadu, India ' Computer Science Engineering, CT Institute of Engineering, Management and Technology, Shahpur, Jalandhar, Punjab, India ' Department of ECE, As-Salam College of Engineering and Technology, Thirumangalakudi, Aduthurai, Tamil Nadu, India

Abstract: There are several cloud computing data protection systems depending on accessibility control, attribute-based encryption (ABE), security and reputations, but still, it is disjointed and lacks a cohesive rationale. I-IoT systems including data protection and threat security metrics are discussed in this paper. I-IoT layered method that is general and extended, with privacy, security features and layers detection is proposed. To protect the user's private data, security procedures and crucial management events are established amongst all the lower, moderate and higher levels. To permit data flow across the levels of the proposed cloud computed powered I-IoT paradigm, we built security certificates. The proposed systematic method eliminates potential security vulnerabilities and is also utilised in conjunction with the optimal security approaches to mitigate the security threats on cloud computed decentralised industrial IoT systems and devices. The assaults toward I-IoT systems are described in this paper, and a detailed examination of remedies to these attacks.

Keywords: data protection; industrial internet of things; I-IoT; cloud computing; end-to-end encryption; security protocols; threat protection.

DOI: 10.1504/IJESMS.2022.126299

International Journal of Engineering Systems Modelling and Simulation, 2022 Vol.13 No.4, pp.277 - 283

Received: 28 Jun 2021
Accepted: 02 Sep 2021
Published online: 19 Oct 2022 *

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