Network Randomization and Dynamic Defense for Critical Infrastructure Systems
Author(s) -
Adrian Chavez,
Mitchell Martin,
Jason Hamlet,
William M.S. Stout,
Erik Lee
Publication year - 2015
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1179040
Subject(s) - computer security , critical infrastructure , computer science , control (management) , security controls , proof of concept , critical infrastructure protection , intrusion , intrusion detection system , honeypot , access control , systems engineering , engineering , operating system , geochemistry , artificial intelligence , geology
Critical Infrastructure control systems continue to foster predictable communication paths, static configurations, and unpatched systems that allow easy access to our nation’s most critical assets. This makes them attractive targets for cyber intrusion. We seek to address these attack vectors by automatically randomizing network settings, randomizing applications on the end devices themselves, and dynamically defending these systems against active attacks. Applying these protective measures will convert control systems into moving targets that proactively defend themselves against attack. Sandia National Laboratories has led this effort by gathering operational and technical requirements from Tennessee Valley Authority (TVA) and performing research and development to create a proof-of-concept solution. Our proof-of-concept has been tested in a laboratory environment with over 300 nodes. The vision of this project is to enhance control system security by converting existing control systems into moving targets and building these security measures into future systems while meeting the unique constraints that control systems face.
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