Los libros más vendidos con 5% dto  Ver más

Enviar a
Provincia de Madrid
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Selecciona tu país

América

Europa

Resto del mundo

portada Artificial Intelligence and Machine Learning in Cybersecurity. A Comprehensive Guide to Improving Cybersecurity Protocol
Formato
Libro Físico
Año
2025
N° páginas
148
Encuadernación
Tapa Blanda
Dimensiones
25.40 x 17.80 cm
ISBN13
9781041014850

Artificial Intelligence and Machine Learning in Cybersecurity. A Comprehensive Guide to Improving Cybersecurity Protocol

Phd, Richard Gwashy Young (Autor) · Productivity Press · Tapa Blanda

Artificial Intelligence and Machine Learning in Cybersecurity. A Comprehensive Guide to Improving Cybersecurity Protocol - PhD, Richard Gwashy Young

Libro Nuevo Importado
Envío: 18 a 23 días háb.
53,68 €50,99 €
-5%
Libro Nuevo

Quedan 86 unidades

50,99 €
Llega entre el 02 Sep y el 14 Sep a Provincia de Madrid. Seleccionar ubicación

Reseña del libro "Artificial Intelligence and Machine Learning in Cybersecurity. A Comprehensive Guide to Improving Cybersecurity Protocol"

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.

"Leveraging Artificial Intelligence (AI) and Machine Learning to Improve Cybersecurity Protocols" is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. 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 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 machine learning 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.

Opiniones del libro

Preguntas frecuentes sobre el libro

Todos los libros de nuestro catálogo son Originales.
La encuadernación de esta edición es Tapa Blanda.

Preguntas y respuestas sobre el libro

¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.

Opiniones sobre Buscalibre

Ver más opiniones de clientes