Dr. Rauf Izmailov Profile

Dr. Rauf Izmailov

at Vencore Labs.

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Author

Publications (4)

Proceedings Article | 24 April 2020 Presentation + Paper

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

Proceedings Volume 11417, 1141704 (2020) https://doi.org/10.1117/12.2561142

KEYWORDS: Antennas, Relays, Principal component analysis, Signal processing, Network security, Machine learning

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Proceedings Article | 24 April 2020 Presentation + Paper

Automated clustering of EM side-channel emissions to detect anomalous device behavior

Chris Mesterharm, Rauf Izmailov, Scott Alexander, Simon Tsang

Proceedings Volume 11417, 114170C (2020) https://doi.org/10.1117/12.2563471

KEYWORDS: Principal component analysis, Data processing, Visualization, Signal processing, Machine learning

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Proceedings Article | 15 May 2018 Paper

CASPER: an efficient approach to detect anomalous code execution from unintended electronic device emissions

Hira Agrawal, Ray Chen, Jeffrey Hollingsworth, Christine Hung, Rauf Izmailov, John Koshy, Joe Liberti, Chris Mesterharm, Josh Morman, Thimios Panagos, Marc Pucci, Işil Sebüktekin, Scott Alexander, Simon Tsang

Proceedings Volume 10630, 106300V (2018) https://doi.org/10.1117/12.2500234

KEYWORDS: Sensors, Signal processing, Clocks, Machine learning, Antennas, Signal detection, Detection and tracking algorithms, Statistical analysis, Array processing, Principal component analysis

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Proceedings Article | 6 July 2015 Paper

Application of multi-scale singular vector decomposition to vessel classification in overhead satellite imagery

R. Izmailov, D. Bassu, A. McIntosh, L. Ness, D. Shallcross

Proceedings Volume 9631, 963108 (2015) https://doi.org/10.1117/12.2196925

KEYWORDS: Binary data, Image classification, Satellites, Satellite imaging, Earth observing sensors, Image processing, Visualization, Ions, Machine learning, Error analysis

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