Isbn: 9798369349403 - enhancing steganography through deep learning approaches (12 risultati)

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  • Lingua: Inglese

    Editore: IGI Global, 2024

    9798369349403

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Igi Global Scientific Publishing, 2024

    9798369349403

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Lingua: Inglese

    Editore: IGI Global, 2024

    9798369349403

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Igi Global Scientific Publishing, 2024

    9798369349403

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Igi Global Scientific Publishing, 2024

    9798369349403

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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    Condizione: Usato - Come nuovo

    EUR 228,04

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Igi Global Scientific Publishing, 2024

    9798369349403

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    EUR 224,87

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Igi Global Scientific Publishing, 2024

    9798369349403

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Igi Global Scientific Publishing, 2024

    9798369349403

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: Usato - Come nuovo

    EUR 228,10

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: IGI Global, US, 2024

    9798369349403

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    EUR 252,34

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    Paperback. Condizione: New. In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals. It is a valuable resource for those looking to incorporate advanced security measures into their products and services. With a focus on practical insights and real-world applications, this book is an essential guide for understanding and implementing steganography and deep learning techniques to enhance security in digital transmission systems.…

  • Lingua: Inglese

    Editore: IGI Global, US, 2024

    9798369349403

    • Brossura

    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    EUR 247,80

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    Paperback. Condizione: New. In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals. It is a valuable resource for those looking to incorporate advanced security measures into their products and services. With a focus on practical insights and real-world applications, this book is an essential guide for understanding and implementing steganography and deep learning techniques to enhance security in digital transmission systems.…

  • Lingua: Inglese

    Editore: IGI Global, 2024

    9798369349403

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    • Print on Demand

    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 226,25

    EUR 70,00 spedizione 
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    Taschenbuch. Condizione: Neu. Enhancing Steganography Through Deep Learning Approaches | Vijay Kumar (u. a.) | Taschenbuch | Englisch | 2024 | IGI Global | EAN 9798369349403 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

  • Lingua: Inglese

    Editore: IGI Global, 2024

    9798369349403

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 304,61

    EUR 35,00 spedizione 
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    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals. …