Revolutionizing Cybersecurity Deep Learning (12 results)

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  • Language: English

    Published by Information Science Reference, 2025

    9798337332970

    • Softcover

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  • Language: English

    Published by Information Science Reference, 2025

    9798337332963

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  • Language: English

    Published by IGI Global, 2025

    9798337332970

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  • Language: English

    Published by IGI Global, 2025

    9798337332970

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  • Language: English

    Published by Information Science Reference, 2025

    9798337332970

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  • Language: English

    Published by IGI Global, 2025

    9798337332963

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  • Language: English

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    9798337332963

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  • Language: English

    Published by Information Science Reference, 2025

    9798337332963

    • Hardcover

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    Language: English

    Published by IGI Global, 2025

    9798337332970

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    Taschenbuch. Condition: Neu. Revolutionizing Cybersecurity With Deep Learning and Large Language Models | Hewa Majeed Zangana (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337332970 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by IGI Global, 2025

    9798337332970

    • Softcover
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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.

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    Language: English

    Published by IGI Global, 2025

    9798337332963

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    Seller: preigu, Osnabrück, Germanypreigu

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    Buch. Condition: Neu. Revolutionizing Cybersecurity With Deep Learning and Large Language Models | Hewa Majeed Zangana (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798337332963 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by IGI Global, 2025

    9798337332963

    • Hardcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.