This book reviews the most powerful attack strategies and potential defense mechanisms, always approaching the interplay between the Fusion Center and the Byzantines from a game-theoretic perspective. For each of the settings considered, the equilibria of the game and the corresponding payoffs are derived, shedding new light on the achievable performance level and the impact that the presence of the Byzantines has on the accuracy of decisions made by the Fusion Center. Accordingly, the book offers a simple yet effective introduction to the emerging field of adversarial information fusion, providing a wealth of intuitive take-home lessons for practitioners interested in applying the most basic notions to the design of practical systems, w...
The problem of distributed inference with M-ary quantized data at the sensors is investigated in the...
We consider a simple, yet widely studied, set-up in which a Fusion Center (FC) is asked to make a bi...
In this paper, we consider the problem of distributed Bayesian detection in the presence of Byzan-ti...
This book reviews the most powerful attack strategies and potential defense mechanisms, always appro...
Every day we share our personal information through digital systems which are constantly exposed to ...
Optimum decision fusion in the presence of malicious nodes-often referred to as Byzantines-is hinder...
Abstract — The problem of cooperative fusion in the presence of both Byzantine sensors and misinform...
This paper considers the noise-enhanced distributed detection problem in the presence of Byzantine (...
Cognitive radio is viewed as a novel approach for improving the utilization of the spectrum as it ut...
The problem of Byzantine (malicious sensors) threats in a distributed detection framework for infere...
We consider a variant of the decision fusion problem in the presence of Byzantines where the two sta...
The concept of consensus lters for sensor fusion is not an entirely new propositionThe concept of co...
In this letter, we consider the problem of distributed Bayesian detection in the presence of data fa...
Abstract — A wireless sensor network designed for distributed detection undergoes a Byzantine attack...
We consider a setup in which a Fusion Center (FC) makes a binary decision on the sequ...
The problem of distributed inference with M-ary quantized data at the sensors is investigated in the...
We consider a simple, yet widely studied, set-up in which a Fusion Center (FC) is asked to make a bi...
In this paper, we consider the problem of distributed Bayesian detection in the presence of Byzan-ti...
This book reviews the most powerful attack strategies and potential defense mechanisms, always appro...
Every day we share our personal information through digital systems which are constantly exposed to ...
Optimum decision fusion in the presence of malicious nodes-often referred to as Byzantines-is hinder...
Abstract — The problem of cooperative fusion in the presence of both Byzantine sensors and misinform...
This paper considers the noise-enhanced distributed detection problem in the presence of Byzantine (...
Cognitive radio is viewed as a novel approach for improving the utilization of the spectrum as it ut...
The problem of Byzantine (malicious sensors) threats in a distributed detection framework for infere...
We consider a variant of the decision fusion problem in the presence of Byzantines where the two sta...
The concept of consensus lters for sensor fusion is not an entirely new propositionThe concept of co...
In this letter, we consider the problem of distributed Bayesian detection in the presence of data fa...
Abstract — A wireless sensor network designed for distributed detection undergoes a Byzantine attack...
We consider a setup in which a Fusion Center (FC) makes a binary decision on the sequ...
The problem of distributed inference with M-ary quantized data at the sensors is investigated in the...
We consider a simple, yet widely studied, set-up in which a Fusion Center (FC) is asked to make a bi...
In this paper, we consider the problem of distributed Bayesian detection in the presence of Byzan-ti...