Asset Management Method of Industrial IoT Systems for Cyber-Security Countermeasures

Author:

Matsumoto Noritaka,Fujita Junya,Endoh Hiromichi,Yamada TsutomuORCID,Sawada KenjiORCID,Kaneko Osamu

Abstract

Cyber-security countermeasures are important for IIoT (industrial Internet of things) systems in which IT (information technology) and OT (operational technology) are integrated. The appropriate asset management is the key to creating strong security systems to protect from various cyber threats. However, the timely and coherent asset management methods used for conventional IT systems are difficult to be implemented for IIoT systems. This is because these systems are composed of various network protocols, various devices, and open technologies. Besides, it is necessary to guarantee reliable and real-time control and save CPU and memory usage for legacy OT devices. In this study, therefore, (1) we model various asset configurations for IIoT systems and design a data structure based on SCAP (Security Content Automation Protocol). (2) We design the functions to automatically acquire the detailed information from edge devices by “asset configuration management agent”, which ensures a low processing load. (3) We implement the proposed asset management system to real edge devices and evaluate the functions. Our contribution is to automate the asset management method that is valid for the cyber security countermeasures in the IIoT systems.

Publisher

MDPI AG

Subject

Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Industrial IoT (IIOT): Security Threats and Countermeasures;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA);2023-03-14

2. 3-layer modelling method to improve the cyber resilience in Industrial Control Systems;SICE Journal of Control, Measurement, and System Integration;2023-02-26

3. IoT Security Review: A Case Study of IIoT, IoV, and Smart Home;Wireless Communications and Mobile Computing;2022-08-21

4. Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review;Energies;2022-02-28

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