Name
Abstract | ||
|---|---|---|
We propose a new game theoretic approach to estimate a binary random variable based on a vector of sensor measurements that may be corrupted by an adversary. The problem is formulated as a zero-sum partial information game in which a detector attempts to minimize the probability of error and an attacker attempts to maximize this probability. Explicit mixed policies are computed using the matrix form of the game and exploiting sensor symmetry to reduce complexity and find closed-form solutions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CDC.2012.6426383 | Decision and Control |
Keywords | Field | DocType |
computational complexity,game theory,matrix algebra,sensors,adversarial detection,complexity reduction,game theoretic approach,matrix form,probability,sensor measurements,sensor symmetry,zero-sum game,zero-sum partial information game,Adversarial detection,byzantine sensors,computer security,estimation,mixed policies,zero-sum games | Minimax,Mathematical optimization,Computer science,Algorithmic game theory,Zero-sum game,Normal-form game,Bondareva–Shapley theorem,Example of a game without a value,Game complexity,Extensive-form game | Conference |
ISSN | ISBN | Citations |
0743-1546 E-ISBN : 978-1-4673-2064-1 | 978-1-4673-2064-1 | 3 |
PageRank | References | Authors |
0.41 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyriakos G. Vamvoudakis | 1 | 27 | 4.74 |
| João P. Hespanha | 2 | 7674 | 587.34 |
| Bruno Sinopoli | 3 | 2837 | 188.08 |
| Yilin Mo | 4 | 891 | 51.51 |