Towards Adaptive and Proactive Security Assessment for Energy Delivery Systems

Lamp, J., Rubio-Medrano, C.E., Zhao, Z., Ahn, G.J.,


2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), Pittsburgh, PA, USA, 2017, pp. 1-6.


Recently, energy delivery systems (EDS) have undergone an intensive modernization process that includes the introduction of dedicated cyber-infrastructures for the purposes of monitoring, control, and optimization of resources. While extremely convenient, the introduction of software-based control over computer networks has also opened the door for the exploitation of non-trivial security vulnerabilities by malicious third-parties. As demonstrated by recent incidents, EDS systems worldwide are vulnerable to sophisticated attacks that include a well-thought out combination of strategies at various levels of abstraction. In such a context, a comprehensive solution supporting automated monitoring and assessment, that can assist security officials in effectively preventing and mitigating such attacks, is highly desired. With this in mind, this paper presents an ongoing effort that takes security requirements obtained from existing documents on guidelines and best practices on EDS, and implements a proof-of-concept framework based on adaptive and customizable software modules that collect and process security relevant data for assuring the security of EDS.

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