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arXiv · 2109.12774

Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study

Tao Liu·Bowen Yang·Qi Li·Jin Ye·Wenzhan Song·Peng Liu
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Abstract

Information flows are intrinsic properties of an multi-stage manufacturing systems (MMS). In computer security, a basic information flow tracking technique is dynamic taint analysis (DTA). DTA tracks taint propagation from one data variable (e.g., a buffer holding a HTTP request) to another. Taint propagation paths are typically determined by data flows and implicit flows in a computer program. And the union of all the taint propagation paths forms a taint graph. It is clear that taints graphs could significantly enhance intrusion diagnosis. However, the existing DTA techniques cannot be directly used in an MMS, and a main reason is as follows: Without manufacturing-specific taint propagation rules, DTA cannot be implemented. In this work, we conduct a case study which (a) extends the existing DTA method with manufacturing-specific taint propagation rules, and (b) applies the extended method to perform preliminary intrusion diagnosis with a small-scale test-bed.

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Tao Liu, Bowen Yang, Qi Li, Jin Ye, Wenzhan Song, Peng Liu. 2021-09-27. Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study. https://arxiv.org/abs/2109.12774

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