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2020-07-24
Chernov, Denis, Sychugov, Alexey.  2019.  Development of a Mathematical Model of Threat to Information Security of Automated Process Control Systems. 2019 International Russian Automation Conference (RusAutoCon). :1—5.
The authors carry out the analysis of the process of modeling threats to information security of automated process control systems. Basic principles of security threats model formation are considered. The approach to protection of automated process control systems based on the Shtakelberg game in a strategic form was modeled. An abstract mathematical model of information security threats to automated process control systems was developed. A formalized representation of a threat model is described, taking into account an intruder's potential. Presentation of the process of applying the described threat model in the form of a continuous Deming-Shewhart cycle is proposed.
2015-05-04
Van Vaerenbergh, S., González, O., Vía, J., Santamaría, I..  2014.  Physical layer authentication based on channel response tracking using Gaussian processes. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. :2410-2414.

Physical-layer authentication techniques exploit the unique properties of the wireless medium to enhance traditional higher-level authentication procedures. We propose to reduce the higher-level authentication overhead by using a state-of-the-art multi-target tracking technique based on Gaussian processes. The proposed technique has the additional advantage that it is capable of automatically learning the dynamics of the trusted user's channel response and the time-frequency fingerprint of intruders. Numerical simulations show very low intrusion rates, and an experimental validation using a wireless test bed with programmable radios demonstrates the technique's effectiveness.

2015-05-01
Van Vaerenbergh, S., González, O., Vía, J., Santamaría, I..  2014.  Physical layer authentication based on channel response tracking using Gaussian processes. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. :2410-2414.

Physical-layer authentication techniques exploit the unique properties of the wireless medium to enhance traditional higher-level authentication procedures. We propose to reduce the higher-level authentication overhead by using a state-of-the-art multi-target tracking technique based on Gaussian processes. The proposed technique has the additional advantage that it is capable of automatically learning the dynamics of the trusted user's channel response and the time-frequency fingerprint of intruders. Numerical simulations show very low intrusion rates, and an experimental validation using a wireless test bed with programmable radios demonstrates the technique's effectiveness.