1.

Record Nr.

UNINA9910484226603321

Autore

Abrardo Andrea

Titolo

IInformation fusion in distributed sensor networks with Byzantines / / Andrea Abrardo [et al.]

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021

ISBN

981-329-001-3

Edizione

[1st edition 2021.]

Descrizione fisica

1 online resource (XIX, 109 p. 26 illus., 15 illus. in color.)

Collana

Signals and Communication Technology, , 1860-4862

Disciplina

006.25

Soggetti

Signal processing

Image processing

Speech processing systems

Computer security

System safety

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.