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Ajouter au panierEtat : New. pp. 128 1st ed. 2024 edition NO-PA16APR2015-KAP.
Langue: anglais
Edité par Springer-Nature New York Inc, 2023
ISBN 10 : 3031447476 ISBN 13 : 9783031447471
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Ajouter au panierTaschenbuch. Etat : Neu. Secure Voice Processing Systems against Malicious Voice Attacks | Kun Sun (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xvi | Englisch | 2023 | Springer | EAN 9783031447471 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10 : 3031447476 ISBN 13 : 9783031447471
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides readers with the basic understanding regarding the threats to the voice processing systems, the state-of-the-art defense methods as well as the current research results on securing voice processing systems.It also introduces three mech.
Langue: anglais
Edité par Springer, Springer International Publishing Okt 2023, 2023
ISBN 10 : 3031447476 ISBN 13 : 9783031447471
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides readers with the basic understanding regarding the threats to the voice processing systems, the state-of-the-art defense methods as well as the current research results on securing voice processing systems.It also introduces three mechanisms to secure the voice processing systems against malicious voice attacks under different scenarios, by utilizing time-domain signal waves, frequency-domain spectrum features, and acoustic physical attributes.First, the authors uncover the modulated replay attack, which uses an inverse filter to compensate for the spectrum distortion caused by the replay attacks to bypass the existing spectrum-based defenses. The authors also provide an effective defense method that utilizes both the time-domain artifacts and frequency-domain distortion to detect the modulated replay attacks. Second, the book introduces a secure automatic speech recognition system for driverless car to defeat adversarial voice command attacks launched from car loudspeakers, smartphones, and passengers. Third, it provides an acoustic compensation system design to reduce the effects from the spectrum reduction attacks, by the audio spectrum compensation and acoustic propagation principle. Finally, the authors conclude with their research effort on defeating the malicious voice attacks and provide insights into more secure voice processing systems.This book is intended for security researchers, computer scientists, and electrical engineers who are interested in the research areas of biometrics, speech signal processing, IoT security, and audio security. Advanced-level students who are studying these topics will benefit from this book as well.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.