CPIndex: Cyber-Physical Vulnerability Assessment for Power-Grid Infrastructures


To safeguard complicated power-grid control networks, power operators need economical security assessment techniques that take into account both cyber facet and the facility side of the cyber-physical critical infrastructures. During this paper, we have a tendency to gift CPINDEX, a security-oriented stochastic risk management technique that calculates cyber-physical security indices to measure the safety level of the underlying cyber-physical setting. CPINDEX installs acceptable cyber-side instrumentation probes on individual host systems to dynamically capture and profile low-level system activities like interprocess communications among operating system assets. CPINDEX uses the generated logs together with the topological data regarding the ability network configuration to create stochastic Bayesian network models of the whole cyber-physical infrastructure and update them dynamically based on the present state of the underlying power system. Finally, CPINDEX implements belief propagation algorithms on the created stochastic models combined with a novel graph-theoretic power system indexing algorithm to calculate the cyber-physical index, i.e., to live the safety-level of the system’s current cyber-physical state. The results of our experiments with actual attacks against a real-world power management network shows that CPINDEX, inside few seconds, will efficiently compute the numerical indices throughout the attack that indicate the progressing malicious attack correctly.

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