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24 April 2020 Experience with the CASPER system during RADICS field trials
Thimios Panagos, Marc Pucci, Chris Mesterharm, Christine Hung, Işil Sebüktekin, Francesco Caruso, Noah Marcus, Hira Agrawal, Josh Morman, Joe Liberti, Rauf Izmailov, Scott Alexander, Simon Tsang
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Proceedings Volume 11417, Cyber Sensing 2020; 1141704 (2020) https://doi.org/10.1117/12.2561142
Event: SPIE Defense + Commercial Sensing, 2020, Online Only
Abstract
The DARPA LADS program uses unintended emissions, including RF emissions, to try to determine the internal state of a digital device. The CASPER project uses a combination of digital signal processing and machine learning in order to discover changes of state that may indicate unwanted activity on the device. In this paper, we will discuss our recent experiences fielding the CASPER system as part of the DARPA RADICS exercise. The RADICS program is building the tools necessary to recover from a catastrophic attack on the cyber assets of the electrical grid. CASPER provides a complementary technology for discovering which assets are performing anomalously to help speed remediation efforts. The RADICS exercise lasted 7 days and is conducted on a live electrical grid in a remote area. The design of the exercise is to provide a high degree of realism including no Internet access and limited access to supplies not already on site.
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Thimios Panagos, Marc Pucci, Chris Mesterharm, Christine Hung, Işil Sebüktekin, Francesco Caruso, Noah Marcus, Hira Agrawal, Josh Morman, Joe Liberti, Rauf Izmailov, Scott Alexander, and Simon Tsang "Experience with the CASPER system during RADICS field trials", Proc. SPIE 11417, Cyber Sensing 2020, 1141704 (24 April 2020); https://doi.org/10.1117/12.2561142
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KEYWORDS
Antennas
Principal component analysis
Relays
Signal processing
Network security
Machine learning
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