Automatic Security Assessment of Control Systems for Critical Cyber -Infrastructures

This research attempts to bridge this gap by investigating the automation of security assessment of the static and dynamic properties of critical infrastructures. We describe first-order logic based models of the static elements including power and control devices, services and connectivity, and re-writing logic based models of the dynamic elements such as operating procedure workflows, and the state of a working power grid. We introduce a tool-chain that, with a little manual assistance, can automatically generate these models from specifications, continuously update attributes from online event aggregators, and perform security assessment. Aside from checking whether the system configuration conforms to recommended best-practices for establishing security controls, the assessment also reveals whether the observed anomalies about the system could indicate possible security problems and permits dynamic ranking of alternative recovery procedures to minimize the total risk. Moreover the tool-chain can recommend an optimal selection of security schemes to apply to various vulnerable parts of the Power Grid network to maximize security when faced with a budget constraint. A case study on security hardening the IEEE power system 118-bus test case from a pool of five different best-practice schemes is used to demonstrate the feasibility of the tool chain implementation.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Anwar, Zahid

Contributors dc:contributor

• Campbell, Roy H.

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3347273

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81842