Physical Authentication of Control Systems: Designing Watermarked Control Inputs to Detect Counterfeit Sensor Outputs
By Yilin Mo, Sean Weerakkody, Bruno Sinopoli. IEEE Control Systems, 2015
466 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/bd3e9a9f4a2acdc563667864a0d1c1379e5e129e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Karl Henrik Johansson
- Henrik Sandberg
- Ling Shi
- Mohammad Pirani
- Alvaro A. Cárdenas
- Aranya Chakrabortty
- Anuradha M. Annaswamy
- Nils Ole Tippenhauer
In Control and Systems Engineering
- Henrik Sandberg
- Karl Henrik Johansson
- Ling Shi
- Anuradha M. Annaswamy
- Mohammad Pirani
- Aranya Chakrabortty
- Seyed Mehran Dibaji
- David Bezalel Flamholz
In Hardware and Architecture
Citations in the corpus
- Optimal Linear Cyber-Attack on Remote State Estimation (2017, result): “Similar to the attack models in existing works [32], [33] and the man-in-the-middle attack where the attacker has knowledge of all relevant messages passing between the two victims and can inject new ones [34], [35], we suppose that the attacker is able to intercept and modify the transmitted data.”
- A Survey of Physics-Based Attack Detection in Cyber-Physical Systems (2018, background): “The idea of active monitoring has also been proposed in other domains [75, 93, 106, 107], as we will discuss later in the article.”
- A systems and control perspective of CPS security (2019, methodology): “Replay attacks can be overcome using watermarking [19] by perturbing an optimal control input in a particular manner.”