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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, and Professional Reference
Illustrationen
28 farbige Abbildungen, 57 s/w Zeichnungen, 28 farbige Zeichnungen, 20 s/w Tabellen, 57 s/w Abbildungen
20 Tables, black and white; 28 Line drawings, color; 57 Line drawings, black and white; 28 Illustrations, color; 57 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 31 mm
Gewicht
ISBN-13
978-1-032-71128-7 (9781032711287)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Thangavel Murugan serves as an Assistant Professor in the Department of Information Systems and Security, College of Information Technology, United Arab Emirates University, Abu Dhabi, United Arab Emirates. He received a Doctorate from Madras Institute of Technology (MIT) Campus, Anna University - Chennai. He received Post Graduate degree as M.E. in Computer Science and Engineering from J.J. College of Engineering and Technology, Trichy under Anna University - Chennai (University First Rank Holder & Gold Medalist) and a Bachelor's degree as B.E. in Computer Science and Engineering from M.A.M College of Engineering, Trichy under Anna University - Chennai (College First Rank Holder & Gold Medalist). He presently holds 10+ years of Teaching and Research experience from various academic institutions. He has published 10+ articles in International Journals, 15+ book chapters in International Publishers, 25+ in the proceedings of International Conferences, and 3 in the proceedings of national conferences /seminars. He has been actively participating as a reviewers in international journals and conferences. He has attended 100+ Workshops / FDPs/Conferences in various Higher Learning Institutes like IIT, and Anna University. He has organized 50+ Workshops / FDPs /Contests/Industry-based courses over the past years of experience. He has been a technical speaker in various Workshops/FDPs/Conferences. His research specialization is Information Security, High-Performance Computing, Ethical Hacking, Cyberforensics, Blockchain, Cybersecurity Intelligence, and Educational Technology.
Dr. W. Jaisingh is an associate professor in the School of CSE and Information Science at Presidency University, Bangalore, India. He received a doctorate from Anna University, Chennai, in 2013 and a Master of Philosophy in Computer Science from Alagappa University in 2005. He has 23 years of teaching and research experience. He has published more than 25 papers in international refereed journals, 30 papers in international conferences, and contributed chapters to books. He has received the "Indian Book of Records" and the "Asia Book of Records" for contributing as an author to the book titled "Covid 19 and its Impact". The book has been selected for the record "maximum authors contributing to a book". He is a Lead Editor in Maximum Authors Contributing for a Book on "Covid 19 and its Impact,", 2021. His areas of research interest include data science, machine learning, data mining, data analytics, image processing, and deep learning. He is a lifetime member of professional societies such as the International Association of Computer Science and Information Technology (IACSIT), the Computer Science Teachers Association, and the Indian Society for Technical Education (ISTE).
Herausgeber*in
United Arab Emirates University, Abu Dhabi
Presidency University, Bangalore
1. Data Science in Healthcare 4.0: An Introduction, 2. Essentials of Business Intelligence: Concepts and Their 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 against 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 for Smart Learning: Revolutionizing Education, 16. Safeguarding Digital Learning Environments in the Era of Advanced Technologies, 17. Deep Learning-Based Intrusion Detection for Online Learning Systems, 18. Securing Education Technologies Using Blockchain, 19. Harnessing Language Models and Machine Learning for Rancorous URL Classification, 20. Essentials of Cybersecurity Education to Mitigate Industrial Sector Challenges, 21. Data Science in Industry Innovations: Opportunities and Challenges, 22. Machine Learning for Reliable Industrial Operations: Predictive Maintenance, 23. Machine Learning for Power Quality Analysis in Railway Yards: On Track for Quality, 24. Simulation of Smart Trolleys for Supermarket Automation: An Experimental Study Using Queuing Theory, 25. Securing the Software Package Supply Chain for Critical Systems, 26. Cybersecurity Frameworks and Best Practices for Industrial Growth and Resilience: Safeguarding Sustainability, 27. Exploring Data Science for Sustainable Urban Planning, 28. Smart Cities for the 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 Plants, 32. Cybersecurity Strategies for Enabling Smart City Resilience: Guardians of the Digital Realm
