Quantum Computing Models for Cybersecurity and Wireless Communications
eBook - PDF

Quantum Computing Models for Cybersecurity and Wireless Communications

  1. 375 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Quantum Computing Models for Cybersecurity and Wireless Communications

About this book

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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Yes, you can access Quantum Computing Models for Cybersecurity and Wireless Communications by Budati Anil Kumar,Singamaneni Kranthi Kumar,Li Xingwang in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgment
  8. Chapter 1 Performance Evaluation of Avionics System Under Hardware-In- Loop Simulation Framework with Implementation of an AS9100 Quality Management System
  9. Chapter 2 YouTube Comment Summarizer and Time-Based Analysis
  10. Chapter 3 Enhancing Gait Recognition Using YOLOv8 and Robust Video Matting for Low-Light and Adverse Conditions
  11. Chapter 4 An Ensemble-Based Machine Learning Framework for Breast Cancer Prediction
  12. Chapter 5 Proactive Fault Detection in Weather Forecast Control Systems Through Heartbeat Monitoring and Cloud-Based Analytics
  13. Chapter 6 FlowGuard: Efficient Traffic Monitoring System
  14. Chapter 7 A Survey on Heart Disease Prediction Using Ensemble Techniques in ML
  15. Chapter 8 A Video Surveillance: Crowd Anomaly Detection and Management Alert System
  16. Chapter 9 Revolutionizing Learning with Qubits: A Review of Quantum Machine Learning Advances
  17. Chapter 10 Multi-Band Self-Grounding Antenna for Wireless Technologies
  18. Chapter 11 Navigating Network Security: A Study on Contemporary Anomaly Detection Technologies
  19. Chapter 12 File Fragment Classification: A Comprehensive Survey of Research Advances
  20. Chapter 13 Deepfake Detection and Forensic Precision for Online Harassment
  21. Chapter 14 Design of Automatic Seed Sowing Machine
  22. Chapter 15 In Motion: Exploring Urban Rides Through Data Analytics
  23. Chapter 16 Design of Novel Chatbot Using Generative Artificial Intelligence
  24. Chapter 17 The Smart Nebulizer Cap for Enhanced Asthma Management
  25. Chapter 18 Design of a Digital VLSI Parallel Morphological Reconfigurable Processing Module for Binary and Grayscale Image Processing
  26. Chapter 19 Intrusion Detection System Using Machine Learning
  27. Chapter 20 Prediction of Arrival Delay Time in Freightage Rails
  28. Chapter 21 Predicting Flight Delays with Error Calculation Using Machine Learned Classifiers
  29. Chapter 22 Design and Implementation of 8-Bit Ripple Carry Adder and Carry Select Adder at 32-nm CNTFET Technology: A Comparative Study
  30. Chapter 23 XGBoost Classifier Based Water Quality Classification Using Machine Learning
  31. Index
  32. Also of Interest
  33. EULA