Security of Industrial Control Systems and Cyber Physical Systems

Cyber-physical systems (CPS) including power systems, transportation, industrial control systems, etc. support both advanced control and communications among system components. Frequent data operations could introduce random failures and malicious attacks or even bring down the whole system. The dependency on a central authority increases the risk of single point of failure. To establish an immutable data provenance scheme for CPS, the authors adopt blockchain and propose a decentralized architecture to assure data integrity. In business-driven CPS, end users are required to share their personal information with multiple third parties. To prevent data leakage and preserve user privacy, the authors isolate and feed different information retrieval requests using tokens specifically generated for each type of request. Providing both traceability of data operations, and unlinkability of end user activities, a robust blockchain-based CPS is prototyped. Evaluation indicates the architecture is capable of assured data provenance validation and user privacy preservation at a low overhead.

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A Self-Adaptive Software System for Increasing the Reliability and Security of Cyber-Physical Systems

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Solutions for Cyber-Physical Systems Ubiquity ◽

10.4018/978-1-5225-2845-6.ch009 ◽

2018 ◽

pp. 223-246 ◽

Cited By ~ 3

Author(s):

Johannes Iber ◽

Tobias Rauter ◽

Christian Kreiner

Keyword(s):

Heterogeneous Systems ◽

Cyber Physical Systems ◽

Software Systems ◽

Software System ◽

Adaptive Software ◽

Industrial Control ◽

Hydro Power ◽

Industrial Control Systems ◽

Physical Systems ◽

Self Adaptive

The advancement and interlinking of cyber-physical systems offer vast new opportunities for industry. The fundamental threat to this progress is the inherent increase of complexity through heterogeneous systems, software, and hardware that leads to fragility and unreliability. Systems cannot only become more unreliable, modern industrial control systems also have to face hostile security attacks that take advantage of unintended vulnerabilities overseen during development and deployment. Self-adaptive software systems offer means of dealing with complexity by observing systems externally. In this chapter the authors present their ongoing research on an approach that applies a self-adaptive software system in order to increase the reliability and security of control devices for hydro-power plant units. The applicability of the approach is demonstrated by two use cases. Further, the chapter gives an introduction to the field of self-adaptive software systems and raises research challenges in the context of cyber-physical systems.

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A Reliable Data Provenance and Privacy Preservation Architecture for Business-Driven Cyber-Physical Systems Using Blockchain

International Journal of Information Security and Privacy ◽

10.4018/ijisp.2018100105 ◽

2018 ◽

Vol 12 (4) ◽

pp. 68-81

Author(s):

Xueping Liang ◽

Sachin Shetty ◽

Deepak K. Tosh ◽

Juan Zhao ◽

Danyi Li ◽

...

Keyword(s):

Power Systems ◽

Privacy Preservation ◽

Personal Information ◽

Single Point ◽

Cyber Physical Systems ◽

Data Provenance ◽

User Privacy ◽

Industrial Control ◽

Industrial Control Systems ◽

Physical Systems

Cyber-physical systems (CPS) including power systems, transportation, industrial control systems, etc. support both advanced control and communications among system components. Frequent data operations could introduce random failures and malicious attacks or even bring down the whole system. The dependency on a central authority increases the risk of single point of failure. To establish an immutable data provenance scheme for CPS, the authors adopt blockchain and propose a decentralized architecture to assure data integrity. In business-driven CPS, end users are required to share their personal information with multiple third parties. To prevent data leakage and preserve user privacy, the authors isolate and feed different information retrieval requests using tokens specifically generated for each type of request. Providing both traceability of data operations, and unlinkability of end user activities, a robust blockchain-based CPS is prototyped. Evaluation indicates the architecture is capable of assured data provenance validation and user privacy preservation at a low overhead.

Download Full-text