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Smart Tourism : The Impact of Artificial Intelligence and Blockchain
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Smart Tourism-The Impact of Artificial Intelligence and Blockchain (Intelligent Systems Reference Library, 249)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Smart Tourism : The Impact of Artificial Intelligence and Blockchain
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Smart Tourism : The Impact of Artificial Intelligence and Blockchain
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 144,29
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Privacy and Data Protection Challenges in the Distributed Era (Learning and Analytics in Intelligent Systems)
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: Ria Christie Collections, Uxbridge, Regno Unito
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Privacy and Data Protection Challenges in the Distributed Era (Learning and Analytics in Intelligent Systems, 26)
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 151,91
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Privacy and Data Protection Challenges in the Distributed Era
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Privacy and Data Protection Challenges in the Distributed Era
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Smart Tourism : The Impact of Artificial Intelligence and Blockchain
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 159,86
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Smart Tourism-The Impact of Artificial Intelligence and Blockchain
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2024
ISBN 10: 3031508823 ISBN 13: 9783031508820
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 181,97
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Privacy and Data Protection Challenges in the Distributed Era (Learning and Analytics in Intelligent Systems)
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Privacy and Data Protection Challenges in the Distributed Era (Learning and Analytics in Intelligent Systems, 26)
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Malware (eng)
Libro 101: Advances in Information SecurityDa: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 190,30
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Malware (eng)
Libro 101: Advances in Information SecurityDa: Brook Bookstore, Milano, MI, Italia
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Privacy and Data Protection Challenges in the Distributed Era: 26 (Learning and Analytics in Intelligent Systems, 26)
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: Revaluation Books, Exeter, Regno Unito
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EUR 217,99
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Aggiungi al carrelloPaperback. Condizione: Brand New. 204 pages. 9.25x6.10x0.59 inches. In Stock.
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Privacy and Data Protection Challenges in the Distributed Era
Libro 24 di 29: Learning and Analytics in Intelligent SystemsDa: Revaluation Books, Exeter, Regno Unito
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EUR 219,94
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Aggiungi al carrelloHardcover. Condizione: Brand New. 204 pages. 9.25x6.10x9.21 inches. In Stock.
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Smart Tourism?The Impact of Artificial Intelligence and Blockchain (Intelligent Systems Reference Library, 249)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Smart Tourism?The Impact of Artificial Intelligence and Blockchain (Intelligent Systems Reference Library)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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Malware : Handbook of Prevention and Detection
Libro 101: Advances in Information SecurityDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 239,16
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Malware (Hardcover)
Libro 101: Advances in Information SecurityLingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 303166244X ISBN 13: 9783031662447
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides in various practical problems, such as unpacking real-world malware and dissecting it to collect and perform a forensic analysis. Similarly, it includes a guide on how to apply state-of-the-art Machine Learning methods to classify malware. Acknowledging that the latter is a serious trend in malware, one part of the book is devoted to providing the reader with the state-of-the-art in Machine Learning methods in malware classification, highlighting the different approaches that are used for, e.g., mobile malware samples and introducing the reader to the challenges that are faced when shifting from a lab to production environment.Modern malware is fueling a worldwide underground economy. The research for this book is backed by theoretical models that simulate how malware propagates and how the spread could be mitigated. The necessary mathematical foundations and probabilistic theoretical models are introduced, and practical results are demonstrated to showcase the efficacy of such models in detecting and countering malware. It presents an outline of the methods that malware authors use to evade detection. This book also provides a thorough overview of the ecosystem, its dynamics and the geopolitical implications are introduced. The latter are complemented by a legal perspective from the African legislative efforts, to allow the reader to understand the human and social impact of malware.This book is designed mainly for researchers and advanced-level computer science students trying to understand the current landscape in malware, as well as applying artificial intelligence and machine learning in malware detection and classification. Professionals who are searching for a perspective to streamline the challenges that arise, when bringing lab solutions into a production environment, and how to timely identify ransomware signals at scale will also want to purchase this book. Beyond data protection experts, who would like to understand how malware siphons private information, experts from law enforcement authorities and the judiciary system, who want to keep up with the recent developments will find this book valuable as well. This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Smart Tourism-The Impact of Artificial Intelligence and Blockchain
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2024
ISBN 10: 3031508823 ISBN 13: 9783031508820
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 170,69
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed.
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Malware: Handbook of Prevention and Detection (Advances in Information Security, 91)
Libro 101: Advances in Information SecurityDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 249,45
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Malware : Handbook of Prevention and Detection
Libro 101: Advances in Information SecurityDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 244,00
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EUR 184,85
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Malware | Handbook of Prevention and Detection | Dimitris Gritzalis (u. a.) | Taschenbuch | Advances in Information Security | xvii | Englisch | 2025 | Springer | EAN 9783031662478 | 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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Malware: Handbook of Prevention and Detection (Advances in Information Security, 91)
Libro 106: Advances in Information SecurityDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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Malware : Handbook of Prevention and Detection
Libro 101: Advances in Information SecurityDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 276,43
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EUR 213,99
Spedizione EUR 63,23
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides in various practical problems, such as unpacking real-world malware and dissecting it to collect and perform a forensic analysis. Similarly, it includes a guide on how to apply state-of-the-art Machine Learning methods to classify malware. Acknowledging that the latter is a serious trend in malware, one part of the book is devoted to providing the reader with the state-of-the-art in Machine Learning methods in malware classification, highlighting the different approaches that are used for, e.g., mobile malware samples and introducing the reader to the challenges that are faced when shifting from a lab to production environment.Modern malware is fueling a worldwide underground economy. The research for this book is backed by theoretical models that simulate how malware propagates and how the spread could be mitigated. The necessary mathematical foundations and probabilistic theoretical models are introduced, and practical results are demonstrated to showcase the efficacy of such models in detecting and countering malware. It presents an outline of the methods that malware authors use to evade detection. This book also provides a thorough overview of the ecosystem, its dynamics and the geopolitical implications are introduced. The latter are complemented by a legal perspective from the African legislative efforts, to allow the reader to understand the human and social impact of malware.This book is designed mainly for researchers and advanced-level computer science students trying to understand the current landscape in malware, as well as applying artificial intelligence and machine learning in malware detection and classification. Professionals who are searching for a perspective to streamline the challenges that arise, when bringing lab solutions into a production environment, and how to timely identify ransomware signals at scale will also want to purchase this book. Beyond data protection experts, who would like to understand how malware siphons private information, experts from law enforcement authorities and the judiciary system, who want to keep up with the recent developments will find this book valuable as well.
-
Smart Tourism: The Impact of Artificial Intelligence and Blockchain
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2024
ISBN 10: 3031508823 ISBN 13: 9783031508820
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 273,52
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Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 199 pages. 9.25x6.10x9.21 inches. In Stock.
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Malware : Handbook of Prevention and Detection
Libro 101: Advances in Information SecurityDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 276,89
Spedizione EUR 17,34
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Malware : Handbook of Prevention and Detection
Libro 101: Advances in Information SecurityLingua: Inglese
Editore: Springer Nature Switzerland, Springer International Publishing, 2024
ISBN 10: 303166244X ISBN 13: 9783031662447
EUR 246,09
Spedizione EUR 64,02
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides in various practical problems, such as unpacking real-world malware and dissecting it to collect and perform a forensic analysis. Similarly, it includes a guide on how to apply state-of-the-art Machine Learning methods to classify malware. Acknowledging that the latter is a serious trend in malware, one part of the book is devoted to providing the reader with the state-of-the-art in Machine Learning methods in malware classification, highlighting the different approaches that are used for, e.g., mobile malware samples and introducing the reader to the challenges that are faced when shifting from a lab to production environment.Modern malware is fueling a worldwide underground economy. The research for this book is backed by theoretical models that simulate how malware propagates and how the spread could be mitigated. The necessary mathematical foundations and probabilistic theoretical models are introduced, and practical results are demonstrated to showcase the efficacy of such models in detecting and countering malware. It presents an outline of the methods that malware authors use to evade detection. This book also provides a thorough overview of the ecosystem, its dynamics and the geopolitical implications are introduced. The latter are complemented by a legal perspective from the African legislative efforts, to allow the reader to understand the human and social impact of malware.This book is designed mainly for researchers and advanced-level computer science students trying to understand the current landscape in malware, as well as applying artificial intelligence and machine learning in malware detection and classification. Professionals who are searching for a perspective to streamline the challenges that arise, when bringing lab solutions into a production environment, and how to timely identify ransomware signals at scale will also want to purchase this book. Beyond data protection experts, who would like to understand how malware siphons private information, experts from law enforcement authorities and the judiciary system, who want to keep up with the recent developments will find this book valuable as well.
