Date Added: Aug 2009
Distributed detection in the presence of cooperative (Byzantine) attack is considered. It is assumed that a fraction of the monitoring sensors are compromised by an adversary, and these compromised (Byzantine) sensors are reprogrammed to transmit fictitious observations aimed at confusing the decision maker at the fusion center. For detection under binary hypotheses with quantized sensor observations, the optimal attacking distributions for Byzantine sensors that minimize the detection error exponent are obtained using a "Water-filling" procedure. The smallest error exponent, as a function of the Byzantine sensor population, characterizes the power of attack. Also, obtained is the minimum fraction of Byzantine sensors that destroys the consistency of detection at the fusion center.