Cybersecurity and Data Science Innovations for Sustainable Development of HEICC
eBook - ePub

Cybersecurity and Data Science Innovations for Sustainable Development of HEICC

Healthcare, Education, Industry, Cities, and Communities

  1. 488 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cybersecurity and Data Science Innovations for Sustainable Development of HEICC

Healthcare, Education, Industry, Cities, and Communities

About this book

Cybersecurity and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities brings together a collection of chapters that explore the intersection of cybersecurity, data science, and sustainable development across key sectors: healthcare, education, industry, cities, and communities. It delves into cybersecurity advancements and examines how innovations in cybersecurity are shaping the landscape of healthcare, education, industry, and urban environments. Data science advancements take center stage, showcasing the transformative power of data analytics in improving outcomes across HEICC sectors. Whether it's optimizing resource allocation in healthcare, protecting patient privacy, personalizing learning experiences in education, enhancing efficiency in industry, or fostering sustainable development in cities and communities, data science offers unprecedented opportunities for innovation and progress.

Key points:

  • Healthcare system security and privacy, protecting patient data, and enabling development of novel healthcare solutions
  • Securing educational data, improving online learning security, and harnessing data analytics for tailored education approaches
  • Manufacturing, finance, and transportation. Diving into critical infrastructure security, detecting and mitigating cyber threats, and using data?driven insights for better industrial operations
  • Helping cities and communities develop sustainably, smart city security challenges, data privacy in urban environments, data analytics for urban planning, and community cybersecurity awareness

This book serves as a comprehensive guide for researchers, practitioners, policymakers, and stakeholders navigating the complex landscape of cybersecurity and data science in the pursuit of sustainable development across HEICC domains.

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Yes, you can access Cybersecurity and Data Science Innovations for Sustainable Development of HEICC by Thangavel Murugan,W. Jai Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Cryptography. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2025
Print ISBN
9781032711287
eBook ISBN
9781040257913
Edition
1
Topic
Computer Science
Subtopic
Cryptography
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Editors
  8. List of Contributors
  9. Chapter 1 Data Science in Healthcare 4.0: An Introduction
  10. Chapter 2 Essentials of Business Intelligence: Concepts and Their Applications
  11. Chapter 3 Machine Learning-Powered Smart Healthcare: A Revolution
  12. Chapter 4 Machine Learning-Based Techniques for Predictive Diagnostics in Healthcare
  13. Chapter 5 The Dark Side of Smart Healthcare: Cyber Threat Landscape Analysis
  14. Chapter 6 Cybersecurity Threat Landscape of Smart and Interconnected Healthcare Systems
  15. Chapter 7 Strengthening Healthcare Security and Privacy: The Power of Cybersecurity and Data Science
  16. Chapter 8 Enhancing Security for Smart Healthcare Systems and Infrastructure with Artificial Intelligence
  17. Chapter 9 A Transfer Learning-Based Predictive Model for Diabetic Retinopathy to Defend against Adversarial Attacks
  18. Chapter 10 Application of Privacy-Preserving Methodology to Enhancing Healthcare Data Security
  19. Chapter 11 A Comprehensive Review on Promoting Trust and Security in Healthcare Systems through Blockchain
  20. Chapter 12 A Literature Study on Blockchain-Based Access Control for Electronic Health Records
  21. Chapter 13 Blockchain and IoTA Tangle for Healthcare Systems
  22. Chapter 14 Education 4.0: Unraveling the Data Science Connection
  23. Chapter 15 AI-Powered Digital Solutions for Smart Learning: Revolutionizing Education
  24. Chapter 16 Safeguarding Digital Learning Environments in the Era of Advanced Technologies
  25. Chapter 17 Deep Learning-Based Intrusion Detection for Online Learning Systems
  26. Chapter 18 Securing Education Technologies Using Blockchain
  27. Chapter 19 Harnessing Language Models and Machine Learning for Rancorous URL Classification
  28. Chapter 20 Essentials of Cybersecurity Education to Mitigate Industrial Sector Challenges
  29. Chapter 21 Data Science in Industry Innovations: Opportunities and Challenges
  30. Chapter 22 Machine Learning for Reliable Industrial Operations: Predictive Maintenance
  31. Chapter 23 Machine Learning for Power Quality Analysis in Railway Yards: On Track for Quality
  32. Chapter 24 Simulation of Smart Trolleys for Supermarket Automation: An Experimental Study Using Queuing Theory
  33. Chapter 25 Securing the Software Package Supply Chain for Critical Systems
  34. Chapter 26 Cybersecurity Frameworks and Best Practices for Industrial Growth and Resilience: Safeguarding Sustainability
  35. Chapter 27 Exploring Data Science for Sustainable Urban Planning
  36. Chapter 28 Smart Cities for the Future: A Data Science Approach
  37. Chapter 29 AI-Powered Energy Optimization
  38. Chapter 30 Enhancing Land Region Mapping and Classification through Spectral Indices
  39. Chapter 31 Precision Agriculture: Sensors’ Real-Time Challenges and Monitoring in Soil and Plants
  40. Chapter 32 Cybersecurity Strategies for Enabling Smart City Resilience: Guardians of the Digital Realm
  41. Index