Information Fusion in Distributed Sensor Networks with Byzantines
Author:   Andrea Abrardo ,  Mauro Barni ,  Kassem Kallas ,  Benedetta Tondi
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789813290006


Pages:   109
Publication Date:   15 July 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Information Fusion in Distributed Sensor Networks with Byzantines


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Overview

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, while at the same time introducing researchers and other readers to the mathematical details behind the theory.

Full Product Details

Author:   Andrea Abrardo ,  Mauro Barni ,  Kassem Kallas ,  Benedetta Tondi
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.454kg
ISBN:  

9789813290006


ISBN 10:   9813290005
Pages:   109
Publication Date:   15 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Preliminaries.- Security attacks and defenses in distributed sensor networks.- A Heuristic defense: A soft isolation algorithm for adversarial decision fusion.- Optimum decision fusion in the presence of Byzantines.- Nearly optimum decision fusion via message passing.- Decision fusion of hidden-Markov observations with synchronized attacks.- Decision fusion with unbalanced priors.- Decision fusion game with incomplete knowledge in a Bayesian setup.- Conclusions.

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