Quantum Computing Models for Cybersecurity and Wireless Communications - Rilegato

 
9781394271399: Quantum Computing Models for Cybersecurity and Wireless Communications
Rilegato
ISBN 10: 1394271395 ISBN 13: 9781394271399
Casa editrice: Wiley-Scrivener, 2025

Sinossi

The book explores the latest quantum computing research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, artificial intelligence-based devices, computer technology, and their solutions.

Future quantum machines will exponentially boost computing power, creating new opportunities for improving cybersecurity. Both classical and quantum-based cyberattacks can be proactively identified and stopped by quantum-based cybersecurity before they harm. Complex math-based problems that support several encryption standards could be quickly solved by using quantum machine learning.

This comprehensive book examines how quantum machine learning and quantum computing are reshaping cybersecurity, addressing emerging challenges. It includes in-depth illustrations of real-world scenarios and actionable strategies for integrating quantum-based solutions into existing cybersecurity frameworks. A range of topics are examined, including quantum-secure encryption techniques, quantum key distribution, and the impact of quantum computing algorithms. Additionally, it talks about machine learning models and how to use machine learning to solve problems. Through its in-depth analysis and innovative ideas, each chapter provides a compilation of research on cutting-edge quantum computer techniques, like blockchain, quantum machine learning, and cybersecurity.

Audience

This book serves as a ready reference for researchers and professionals working in the area of quantum computing models in communications, machine learning techniques, IoT-enabled technologies, and various application industries such as finance, healthcare, transportation and utilities.

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Editore
Wiley-Scrivener
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
1394271395
ISBN 13 
9781394271399
Rilegatura
Copertina rigida
Numero di pagine
384
Redattore
Kumar Budati Anil, Kumar Singamaneni Kranthi, Xingwang Li
Contatto del produttore
non disponibile
Persona responsabile
non disponibile