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Detecting Sensors and Inferring their Relations at Level-0 in Industrial Cyber-Physical Systems...

by Kalyan S Perumalla, Srikanth B Yoginath, Juan Lopez Jr
Publication Type
Conference Paper
Book Title
Proceedings of the 2019 IEEE International Symposium on Technologies for Homeland Security (HST)
Publication Date
Page Numbers
1 to 5
Conference Name
IEEE International Symposium on Technologies for Homeland Security (HST)
Conference Location
Woburn, Massachusetts, United States of America
Conference Sponsor
IEEE
Conference Date
-

While there exist tools and techniques to discover, identify, map, and analyze cyber physical components at higher levels of the cyber space, there is a lack of capabilities to reach down to the sensors at the bottom-most levels, such as levels 0 and 1 of the Purdue Enterprise Reference Model for cyber-physical systems (CPS). Conventional information technology (IT)-based tools reach as far as the network-side of programmable logic controllers, but are inadequate to access and analyze the physical side of the CPS infrastructure that directly interfaces with the actual physical processes and systems. In this paper, we present our research and development efforts aimed at addressing this gap, by building a system called Deep-cyberia (Deep Cyber-Physical System Interrogation and Analysis) that incorporates algorithms and interfaces aimed at uncovering sensors and computing estimates of correlations among them.