Cybersecurity and Data Science Innovations for Sustainable Development of HEICC - Murugan, Thangavel; Singh, W. Jai; (szerk.) - Prospero Internetes Könyváruház
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Cybersecurity and Data Science Innovations for Sustainable Development of HEICC

Healthcare, Education, Industry, Cities, and Communities
 
Kiadás sorszáma: 1
Kiadó: CRC Press
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GBP 110.00
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57 750 Ft (55 000 Ft + 5% áfa)
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Kedvezmény(ek): 20% (kb. 11 550 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
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Rövid leírás:

Delves into the nexus of cybersecurity, data science, and sustainable development in a variety of areas. The book serves as a comprehensive guide for researchers, practitioners, policymakers, and stakeholders navigating the complex landscape of cyber security and data science in the pursuit of sustainable development across HEICC domains.

Hosszú leírás:

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.

Tartalomjegyzék:

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