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Ajouter au panierTaschenbuch. Etat : Neu. Android and IOS Mobile Forensics | Leveraging Blockchain, Machine Learning, and Deep Learning for Digital Investigations | Ravi Sheth (u. a.) | Taschenbuch | xxi | Englisch | 2026 | Apress | EAN 9798868817472 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Langue: anglais
Edité par Springer-Nature New York Inc, 2025
ISBN 10 : 3031882369 ISBN 13 : 9783031882364
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Ajouter au panierPaperback. Etat : Brand New. 127 pages. 9.25x6.10x9.21 inches. In Stock.
Langue: anglais
Edité par Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10 : 3031882369 ISBN 13 : 9783031882364
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28 29, 2023.The 9 full papers presented were carefully reviewed and selected from 147 submissions. They were organized in topical sections as follows: machine learning; deep learning; and block chain.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore methods, resources, and approaches for gathering, evaluating, and interpreting data from mobile devices including iOS and Android models. This book reveals at how mobile forensics and cutting-edge technologies like deep learning, machine learning, and blockchain interact, providing insights into how these developments are changing the industry. This book attempts to fill the knowledge gap between theory and practice by providing an in-depth analysis of both fundamental ideas and recent advances. It is an invaluable tool for anyone who wants to advance their knowledge of mobile forensics and remain ahead of the constantly changing landscape of digital investigations. The book presents several novel and cutting-edge approaches that have the potential to completely transform the area of mobile forensics, such the use of deep learning and machine learning techniques. Additionally, it offers a thorough examination of blockchain data in relation to mobile devices, a subject that is becoming more and more important. Future topics like 5G network forensics and the forensic applications of AR and VR technologies are included to prepare you for developments on the horizon. Android and IOS Mobile Forensics takes a comprehensive approach to ensure you gain the information and abilities needed to handle the challenges presented by mobile forensics. What You'll LearnPerform forensic analysis on Android and iOS devices, social media accounts, mobile banking, financial applications, mobile networks, and Geo location artifactsApply AI, machine learning, deep learning and blockchain in mobile forensics.Gather and interpret data from real-world cases.Ensure privacy, security, and legal compliance in investigations.Prepare for 5G, AR, and VR forensic challenges.Who This Book Is ForThose who have a foundational understanding of digital forensics and are looking to deepen their knowledge, especially in the context of mobile devices. It is suitable for professionals already working in the field, as well as advanced students in related disciplines.
Langue: anglais
Edité par Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10 : 3031882369 ISBN 13 : 9783031882364
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28 29, 2023.The 9 full papers presented were carefully reviewed and selected from 147 submissions. They were organized in topical sections as follows: machine learning; deep learning; and block chain. 115 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031882369 ISBN 13 : 9783031882364
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Ajouter au panierPaperback. Etat : new. Paperback. This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 2829, 2023. The 9 full papers presented were carefully reviewed and selected from 147 submissions. They were organized in topical sections as follows: machine learning; deep learning; and block chain. This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 2829, 2023. They were organized in topical sections as follows: machine learning; deep learning; This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierTaschenbuch. Etat : Neu. Machine Learning, Deep Learning, and Blockchain | Fourth International Research Conference, IRCICD 2023, Chennai, India, April 28-29, 2023, Proceedings | Kannadhasan Suriyan (u. a.) | Taschenbuch | xii | Englisch | 2025 | Springer | EAN 9783031882364 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Langue: anglais
Edité par Springer Nature Switzerland, Springer International Publishing Apr 2025, 2025
ISBN 10 : 3031882369 ISBN 13 : 9783031882364
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 2829, 2023.The 9 full papers presented were carefully reviewed and selected from 147 submissions. They were organized in topical sections as follows: machine learning; deep learning; and block chain.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 128 pp. Englisch.