'Known Secure Sensor Measurements' for Critical Infrastructure Systems: Detecting Falsification of System State

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This paper describes a first investigation on a low cost and low false alarm, reliable mechanism for detecting manipulation of critical physical processes and falsification of system state. We call this novel mechanism Known Secure Sensor Measurements (KSSM). The method moves beyond analysis of network traffic and host based state information, in fact it uses physical measurements of the process being controlled to detect falsification of state. KSSM is intended to be incorporated into the design of new, resilient, cost effective critical infrastructure control systems. It can also be included in incremental upgrades of already in- stalled systems for enhanced ... continued below

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McQueen, Miles & Giani, Annarita September 1, 2011.

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Description

This paper describes a first investigation on a low cost and low false alarm, reliable mechanism for detecting manipulation of critical physical processes and falsification of system state. We call this novel mechanism Known Secure Sensor Measurements (KSSM). The method moves beyond analysis of network traffic and host based state information, in fact it uses physical measurements of the process being controlled to detect falsification of state. KSSM is intended to be incorporated into the design of new, resilient, cost effective critical infrastructure control systems. It can also be included in incremental upgrades of already in- stalled systems for enhanced resilience. KSSM is based on known secure physical measurements for assessing the likelihood of an attack and will demonstrate a practical approach to creating, transmitting, and using the known secure measurements for detection.

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  • SERENE 2011: 3rd International Workshop on Software Engineering for Resilient Systems,Geneva, Switzerland,09/29/2011,09/30/2011

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  • Report No.: INL/CON-11-21607
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 1023459
  • Archival Resource Key: ark:/67531/metadc833080

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  • September 1, 2011

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  • May 19, 2016, 3:16 p.m.

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  • Nov. 29, 2016, 4:45 p.m.

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McQueen, Miles & Giani, Annarita. 'Known Secure Sensor Measurements' for Critical Infrastructure Systems: Detecting Falsification of System State, article, September 1, 2011; Idaho Falls, Idaho. (digital.library.unt.edu/ark:/67531/metadc833080/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.