Decentralizing Cyber Physical Systems for Resilience: An Innovative Case Study from A Cybersecurity Perspective

被引：8

作者：

Liang, Xueping ^{[1
]}

Konstantinou, Charalambos ^{[2
]}

Shetty, Sachin ^{[3
]}

Bandara, Eranga ^{[3
]}

Sun, Ruimin ^{[4
]}

机构：

[1] Florida Int Univ, Dept Informat Syst & Business Analyt, Miami, FL 33199 USA

[2] King Abdullah Univ Sci & Technol KAUST, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia

[3] Old Dominion Univ, Virginia Modeling Anal & Simulat Ctr, Norfolk, VA USA

[4] Florida Int Univ, Sch Comp & Informat Sci, Miami, FL USA

来源：

COMPUTERS & SECURITY | 2023年 / 124卷

基金：

美国国家科学基金会;

关键词：

Blockchain; Resilience; Power grid; Design science; Trust; State-aware proof of stake; Cyber physical systems; Cyber security; Interdisciplinary research; DATA INJECTION ATTACKS; REAL-TIME DETECTION; BLOCKCHAIN; CHALLENGES;

D O I：

10.1016/j.cose.2022.102953

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The integration of blockchain with various business scenarios in cyber physical systems, where resilience is critical for the stability of system operation, can provide decentralized, constant validation and a con-sistent view of the system state. However, there are significant managerial and cybersecurity challenges in the integration process. The physical elements in the industrial infrastructure are heterogeneous with limited communication and computation capabilities. This paper aims to investigate the blockchain as-sured innovative business models in the power grid as a distributed industrial network and explore the blockchain consensus design that enables a state-aware power grid with high scalability. Following design science and interdisciplinary research methodology, a multi-level technical framework is developed to ex-plore the blockchain integration strategies, specifically with a customized Proof of Stake consensus, as a case study. Technical evaluation is performed to reveal the performance improvement and the resilience of the business models in the detection of false data injection attacks.(c) 2022 Elsevier Ltd. All rights reserved.

引用

页数：14

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