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David Umsonst
David Umsonst
IoT Technologies and Cyber-Physical Systems - Ericsson Research
Email verificata su ericsson.com
Titolo
Citata da
Citata da
Anno
Security analysis of control system anomaly detectors
D Umsonst, H Sandberg, AA Cárdenas
2017 American Control Conference (ACC), 5500-5506, 2017
392017
Anomaly detector metrics for sensor data attacks in control systems
D Umsonst, H Sandberg
2018 Annual American Control Conference (ACC), 153-158, 2018
272018
Quantifying the impact of cyber-attack strategies for control systems equipped with an anomaly detector
J Milošević, D Umsonst, H Sandberg, KH Johansson
2018 European Control Conference (ECC), 331-337, 2018
262018
On the confidentiality of controller states under sensor attacks
D Umsonst, H Sandberg
Automatica 123, 109329, 2021
172021
Large scale rollout of smart grid services
F Kintzler, T Gawron-Deutsch, S Cejka, J Schulte, M Uslar, EMSP Veith, ...
2018 Global Internet of Things Summit (GIoTS), 1-7, 2018
142018
Local voltage control of an inverter-based power distribution network with a class of slope-restricted droop controllers
MS Chong, D Umsonst, H Sandberg
IFAC-PapersOnLine 52 (20), 163-168, 2019
112019
A game-theoretic approach for choosing a detector tuning under stealthy sensor data attacks
D Umsonst, H Sandberg
2018 IEEE Conference on Decision and Control (CDC), 5975-5981, 2018
112018
A Bayesian Nash equilibrium-based moving target defense against stealthy sensor attacks
D Umsonst, S Sarıtaş, G Dán, H Sandberg
IEEE Transactions on Automatic Control, 2023
92023
Voltage regulation of a power distribution network in a radial configuration with a class of sector-bounded droop controllers
MS Chong, D Umsonst, H Sandberg
2019 IEEE 58th Conference on Decision and Control (CDC), 3515-3520, 2019
62019
Tuning of anomaly detectors in the presence of sensor attacks
D Umsonst
KTH Royal Institute of Technology, 2019
62019
Finite sample guarantees for quantile estimation: An application to detector threshold tuning
D Umsonst, J Ruths, H Sandberg
IEEE Transactions on Control Systems Technology 31 (2), 921-928, 2022
52022
Experimental evaluation of sensor attacks and defense mechanisms in feedback systems
D Umsonst, H Sandberg
Control Engineering Practice 124, 105178, 2022
52022
A Nash equilibrium-based moving target defense against stealthy sensor attacks
D Umsonst, S Saritaş, H Sandberg
2020 59th IEEE Conference on Decision and Control (CDC), 3772-3778, 2020
52020
On the confidentiality of linear anomaly detector states
D Umsonst, E Nekouei, A Teixeira, H Sandberg
2019 American Control Conference (ACC), 397-403, 2019
42019
Sample-based anomaly detector tuning with finite sample guarantees
D Umsonst, J Ruths, H Sandberg
2021 American Control Conference (ACC), 3248-3253, 2021
32021
Intrusion resilience for PV inverters in a distribution grid use-case featuring dynamic voltage control
BJ Kang, D Umsonst, M Faschang, C Seitl, I Friedberg, F Kupzog, ...
Critical Information Infrastructures Security: 14th International Conference …, 2020
32020
Security analysis of control system anomaly detectors
D Umsonst
22016
Practical detectors to identify worst-case attacks
D Umsonst, N Hashemi, H Sandberg, J Ruths
2022 IEEE Conference on Control Technology and Applications (CCTA), 197-204, 2022
12022
On the confidentiality of the reference signal under sensor attacks
D Umsonst, H Sandberg
2021 60th IEEE Conference on Decision and Control (CDC), 3468-3473, 2021
12021
Stealthy Sensor Attacks on Feedback Systems: Attack Analysis and Detector-based Defense Mechanisms
D Umsonst
KTH Royal Institute of Technology, 2021
12021
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Articoli 1–20