A Game-Theoretic Approach for Adversarial Information Fusion in Distributed Sensor Networks (2017)
Abstract / truncated to 115 words
Every day we share our personal information through digital systems which are constantly exposed to threats. For this reason, security-oriented disciplines of signal processing have received increasing attention in the last decades: multimedia forensics, digital watermarking, biometrics, network monitoring, steganography and steganalysis are just a few examples. Even though each of these elds has its own peculiarities, they all have to deal with a common problem: the presence of one or more adversaries aiming at making the system fail. Adversarial Signal Processing lays the basis of a general theory that takes into account the impact that the presence of an adversary has on the design of effective signal processing tools. By focusing on the application ... toggle 16 keywordssignal processing in adversarial domain – adversarial signal processing – game theory – detection theory – adversary – attacker – attacks – byzantines – decision fusion – data fusion – zero-sum games – dynamic programming – consensus algorithms – decentralized networks – factor graph – sum product algorithm.
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