Design-time Quantification of Integrity in Cyber-physical Systems
| Title | Design-time Quantification of Integrity in Cyber-physical Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Morris, Eric Rothstein, Murguia, Carlos G., Ochoa, Martin |
| Conference Name | Proceedings of the 2017 Workshop on Programming Languages and Analysis for Security |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5099-0 |
| Keywords | control theory, Cyber-physical systems, Human Behavior, human factor, information flow, non-interference, privacy, pubcrawl, resilience, Resiliency, Scalability, security |
| Abstract | 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 they are also present to and fro the two levels. In this work, we provide a methodology to formally analyse a composite, cyber-physical system 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. |
| URL | http://doi.acm.org/10.1145/3139337.3139347 |
| DOI | 10.1145/3139337.3139347 |
| Citation Key | morris_design-time_2017 |
