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Idioma: Inglés
Publicado por Productivity Press 12/17/2025, 2025
ISBN 10: 1041014856 ISBN 13: 9781041014850
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 55,75
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Añadir al carritoPaperback or Softback. Condición: New. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol. Book.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041014856 ISBN 13: 9781041014850
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 59,28
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Añadir al carritoPaperback. Condición: New. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The book's uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention.
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EUR 56,40
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EUR 53,83
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 65,75
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Añadir al carritoPaperback. Condición: Brand New. 160 pages. 10.00x7.00x10.00 inches. In Stock.
EUR 58,48
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Añadir al carritoCondición: New. Richard Young, PhD, is a seasoned cybersecurity leader and practitioner with over 30 years of experience in the financial services industry. Serving as an adjunct professor and Cybersecurity Program chair, he has made significant contrib.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041014856 ISBN 13: 9781041014850
Librería: Rarewaves.com UK, London, Reino Unido
EUR 55,04
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Añadir al carritoPaperback. Condición: New. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The book's uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 142,21
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EUR 170,47
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 171,19
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 182,82
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 176,39
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EUR 176,40
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 198,54
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 195,83
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 205,40
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 261,18
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Añadir al carritoHardcover. Condición: Brand New. 160 pages. 10.00x7.00x10.00 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1041014856 ISBN 13: 9781041014850
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 49,06
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and MLs principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The books uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention. This book offers readers an in-depth understanding of how AI and ML are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.