CRAug 16, 2017

Design-Time Quantification of Integrity in Cyber-Physical-Systems

arXiv:1708.04798v115 citations
Originality Incremental advance
AI Analysis

This work addresses security vulnerabilities in cyber-physical systems, such as critical infrastructure, by providing a design-time analysis tool, though it appears incremental as it extends information flow theory to combined models.

The authors tackled the problem of quantifying information leakage and corruption in cyber-physical systems by developing a formal methodology that analyzes information flows across digital and physical levels, using a water distribution case study to demonstrate vulnerability quantification against attackers with varying capabilities.

In a software system it is possible to quantify the amount of information that is leaked or corrupted by analysing the flows of information present in the source code. In a cyber-physical system, information flows are not only present at the digital level, but also at a physical level, and to and fro the two levels. In this work, we provide a methodology to formally analyse a Cyber-Physical System composite model (combining physics and control) using an information flow-theoretic approach. We use this approach to quantify the level of vulnerability of a system with respect to attackers with different capabilities. We illustrate our approach by means of a water distribution case study.

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