An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology

Kim, Taesic; Ochoa, Justin J.; Faika, Tasnimun; Mantooth, Alan; Di, Jia; Li, Qinghua; Lee, Young

doi:10.1109/jestpe.2020.2968490

Cited by 78 publications

(37 citation statements)

References 40 publications

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“…Therefore, CPSs are generally hesitant to share information or article intrusions due to anxiety about data confidentiality and integrity as it is relatively difficult to quantify the reputational levels of untrusted individuals. The capability to maintain data storage with a supervisory capacity can incur computational overheads in terms of time and cost [104], [109]. Corporations are progressively using CPSs to scale their storages of various datasets as security and privacy are still challenging.…”

Section: ) Consensus Methods and Blockchain-enabled Privacymentioning

confidence: 99%

“…During the growth of a blockchain, the hash functions should follow several security requirements [104]. Firstly, a first-layer resistance denotes the struggle to recover the hash values, that is, a hash value (h) requires a complexity ofO(2n) to estimate an x input, whereH(x) = h and, secondly, a second-layer resistance indicates that an input (x) has a hash value with O(2n) complexity for calculating the valuesx 0 = x, where H(x 0 ) = h. Finally, a hash-collision resistance requires a complexity ofO(2n/2) to obtain either of the previous two hash values.…”

Section: ) Architecture Of Blockchain For Privacy Preservationmentioning

confidence: 99%

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Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

et al. 2021

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Cyber-Physical Systems (CPSs) as in power, water, gas systems and smart grids produce heterogeneous and huge amount of data from various devices and networks, therefore it is essential to develop efficient privacy-preserving techniques for safeguarding system data (telemetry and transactions) from cyber attacks. In order to protect CPSs from prospect cyber-threats, it is essential to discover system components vulnerabilities to prohibit Advanced Persistent Threats (APTs) and keep their generated data secure using privacy-preserving techniques. This paper introduces a comprehensive review of the current privacy-preserving techniques for protecting CPS systems and their data from cyber attacks. Concepts of Privacy preservation and CPSs are discussed, demonstrating CPSs' components and the way these systems could be exploited by either cyber and physical hacking scenarios. Then, classification of privacy preservation according to the way they would be protected, including perturbation, authentication, machine learning (ML), cryptography and blockchain, are explained to illustrate how they would be employed for data privacy preservation. Finally, we show existing challenges, solutions and future research directions of privacy preservation in CPSs.

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Section: ) Consensus Methods and Blockchain-enabled Privacymentioning

confidence: 99%

Section: ) Architecture Of Blockchain For Privacy Preservationmentioning

confidence: 99%

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

et al. 2021

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“…There are several proposals on IoT ID management. For example, recent work [69] investigated the usage of blockchain for Lithium-ion (Li-ion) battery management. Moreover, Guo et al [70] adopted an integration of blockchain and edge computing to achieve the trust of access control across diverse IoT systems.…”

Section: A Communication Layermentioning

confidence: 99%

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Dai

Wang

2021

IEEE Internet Things J.

214

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Critical infrastructure systems are vital to underpin the functioning of a society and economy. Due to ever-increasing number of Internet-connected Internet-of-Things (IoTs) / Industrial IoT (IIoT), and high volume of data generated and collected, security and scalability are becoming burning concerns for critical infrastructures in industry 4.0. The blockchain technology is essentially a distributed and secure ledger that records all the transactions into a hierarchically expanding chain of blocks. Edge computing brings the cloud capabilities closer to the computation tasks. The convergence of blockchain and edge computing paradigms can overcome the existing security and scalability issues. In this paper, we first introduce the IoT/IIoT critical infrastructure in industry 4.0, and then we briefly present the blockchain and edge computing paradigms. After that, we show how the convergence of these two paradigms can enable secure and scalable critical infrastructures. Then, we provide a survey on state-of-the-art for security and privacy, and scalability of IoT/IIoT critical infrastructures. A list of potential research challenges and open issues in this area is also provided, which can be used as useful resources to guide future research.

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“…In [2], Kim et al describe the approach of using blockchain technology to protect Li-ion battery management systems from cyber-attacks to help ensure the secure utilization of battery systems in a variety of applications.…”

Section: Guest Editorial Special Section On Cybersecurity Of Power El...mentioning

confidence: 99%

Guest Editorial Special Section on Cybersecurity of Power Electronics Through Hardware Hardening

Mantooth

Zane

Manjrekar

2022

IEEE J. Emerg. Sel. Topics Power Electron.

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An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology

Cited by 78 publications

References 40 publications

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Guest Editorial Special Section on Cybersecurity of Power Electronics Through Hardware Hardening

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