1st Edition
Cybersecurity and Data Science Innovations for Sustainable Development of HEICC Healthcare, Education, Industry, Cities and Communities
Cyber Security 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 cyber security, data science, and sustainable development across key sectors: healthcare, education, industry, cities, and communities. It delves into cyber security advancements and examines how innovations in cyber security 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.
Keypoints:
- Healthcare system security and privacy, protecting patient data, enabling development of novel healthcare solutions.
- Securing educational data, improving online learning security, harnessing data analytics for tailored education approaches.
- Manufacturing, finance, transportation. Digs into critical infrastructure security, detecting and mitigating cyber threats, exploiting 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, community cybersecurity awareness.
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.
Chapter 1 – Data Science in Healthcare 4.0 - An Introduction
Amsini P
Chapter 2 – Essentials of Business Intelligence - Concepts and Its Applications
Arun Kumar S, Saira Banu Atham, Muthuraju V, and Sandhya L
Chapter 3 – Machine Learning powered Smart Healthcare - A Revolution
Mary Judith A, TamilSelvi Madeswaran, Vanidhasri R, and Baghavathi Priya S
Chapter 4– Machine Learning based Techniques for Predictive Diagnostics in Healthcare
Sathyavathi S, Kavitha R.K, PremaArokai Mary G, and Baskaran K.R
Chapter 5– The Dark Side of Smart Healthcare - Cyber Threat Landscape Analysis
Mary Judith A, TamilSelvi Madeswaran, and Baghavathi Priya S
Chapter 6 – Cybersecurity Threat Landscape of Smart and Interconnected Healthcare Systems
Abirami T, and Parameshwari V
Chapter 7– Strengthening Healthcare Security and Privacy: The Power of Cybersecurity and Data Science
Mamta Bhamare, Pradnya V Kulkarni, Sarika Bobde, and Rachana Y. Patil
Chapter 8 – Enhancing Security for Smart Healthcare Systems and Infrastructure with Artificial Intelligence
Amutha S, Uma Maheswari G, Nallasivan G, Sharon Nisha M, Ramanan M, and Anna Lakshmi A
Chapter 9– A Transfer Learning based Predictive Model for Diabetic Retinopathy to Defend Adversarial Attacks
Alvin Nishant and Alamelu Mangai
Chapter 10 – Application of Privacy-Preserving Methodology to Enhancing Healthcare Data Security
Veeramani Sonai, Indira Bharathi, and Muthaiah Uchimuthu
Chapter 11 – A Comprehensive Review on Promoting Trust and Security in Healthcare Systems through Blockchain
Thiruchadai Pandeeswari S, Jeyamala Chandrasekaran, and Pudumalar S
Chapter 12 – A Literature Study on Blockchain-Based Access Control For Electronic Health Records
Harsh Pailkar and Thangavel Murugan
Chapter 13 – Blockchain and IoTA Tangle for Healthcare Systems
Rabei Raad Ali, Khaled Shuaib, Salama A. Mostafa, Faiza Hashim, and Mohamed Adel Serhani
Chapter 14 – Education 4.0: Unraveling the Data Science Connection
Geetha M.C.S, Kaviyassri K, Judith Pacifica J, and Kaviyadharshini M
Chapter 15 – AI-Powered Digital Solutions on Smart Learning - Revolutionizing Education
Kavitha R.K, Rajan Krupa C, Kaarthiekheyan V
Chapter 16 – Safeguarding Digital Learning Environments in the Era of Advanced Technologies
Rajan Krupa C, Kavitha R.K, Vasundhra G, Kavidharshini I
Chapter 17 – Deep Learning based Intrusion Detection for Online Learning System
Baghavathi Priya S, Sangeetha K, Balaji V.S., TamilSelvi Madeswaran
Chapter 18 – Securing Education Technologies using Blockchain
Nivedhitha G, and Radha Senthilkumar
Chapter 19– Harnessing Language Models and Machine Learning for Rancorous URL Classification
Prabhuta Chaudhary, Ayush Verma, and Manju Khari
Chapter 20 – Essentials of Cybersecurity Education to mitigate the Industrial Sector Challenges
Felshiya Rajakumari R, and Siva Ramkumar M
Chapter 21 – Data Science in Industry Innovations: Opportunities and Challenges
Arun Kumar Mishra, Megha Sinha, and Sudhanshu Kumar Jha
Chapter 22 – Machine Learning for Reliable Industrial Operations - A Predictive Maintenance
Padmavathi S, Nevetha B, Bala Sakthi R, and Anu Varshini K.M.
Chapter 23 – Machine Learning for Power Quality Analysis in Railway Yards - On Track for Quality
Kavitha D, Satham H, and Anitha D
Chapter 24 – Simulation of Smart Trolley for Super Market Automation - An Experimental Study using Queuing Theory
Sakthirama Vadivelu, Devaraj M.M., Edwin T, Renuka Devi M, Krishna Hariharan R, and Muruganandham R
Chapter 25 – Securing The Software Package Supply Chain For Critical Systems
Ritwik Murali and Akash Ravi
Chapter 26 – Cyber Security Frameworks and Best Practices for Industrial Growth and Resilience - Safeguarding Sustainability
Moushami Panda, Smruti Rekha Sahoo, Jyotikanta Panda, Saumendra Das, and Dulu Patnaik
Chapter 27 – Exploring Data Science for Sustainable Urban Planning
Shashvath Radhakrishnan, Shri Varshan P, Lakshitha S K, and Suganya R
Chapter 28 – Smart Cities for Future - A Data Science Approach
Aishwarya R.I, Asimithaa K, and Eunice J
Chapter 29 – AI-Powered Energy Optimization
Chandana Gouri Tekkali, Abbaraju Sai Sathwik, Beebi Naseeba, and Vankayalapati Radhika
Chapter 30– Enhancing Land Region Mapping and Classification through Spectral Indices
Eliza Femi Sherley S, Prabakaran R, Sugitha K.S, Lakshmi S.V.V
Chapter 31 – Precision Agriculture: Sensors Real time Challenges and Monitoring in Soil and Plant
Vinoth Kumar C.N.S and Sakthipriya S
Chapter 32 – Cybersecurity Strategies for Enabling Smart City Resilience - Guardians of the Digital Realm
Rajeshkumar C, Siamala Devi S, Ruba Soundar K, Nallasivan G, Amutha S, and Sujin J.S
Biography
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).
