1 research outputs found
Game Theoretical Approach to Sequential Hypothesis Test with Byzantine Sensors
In this paper, we consider the problem of sequential binary hypothesis test
in adversary environment based on observations from s sensors, with the caveat
that a subset of c sensors is compromised by an adversary, whose observations
can be manipulated arbitrarily. We choose the asymptotic Average Sample Number
(ASN) required to reach a certain level of error probability as the performance
metric of the system. The problem is cast as a game between the detector and
the adversary, where the detector aims to optimize the system performance while
the adversary tries to deteriorate it. We propose a pair of flip attack
strategy and voting hypothesis testing rule and prove that they form an
equilibrium strategy pair for the game. We further investigate the performance
of our proposed detection scheme with unknown number of compromised sensors and
corroborate our result with simulation.Comment: conference paper for CDC2019, 9 pages with appendix, 1 figur