Samiksha Shukla - Böcker

Smart cities with various technological innovations have played an important role and influenced society as well. Due to voluminous data transactions within smart cities, security and privacy concerns need to be dealt with. Though taking care of safety and privacy is challenging, it is essential for a smart city to understand the bio-inspired computing paradigms. This book discusses the utilization of bio-inspired computing procedures for effective computational devices.Discusses real-world usage of bio-inspired computationsHighlights how bio-inspired computations hold the potential to significantly increase network security and privacyTalks about how society can avoid consequences of cyber security breachesExamines the combination of bio-inspired computational methods with IoT, AI and big dataThis book is primarily aimed at graduates, researchers, IT and industry professionals

This book offers a comprehensive exploration of the next stage in societal evolution, where technology and human values happily meet. The book begins by defining Society 5.0, uncovering its roots from earlier societal models, and emphasizing its core principle: positioning people at the centre of innovation. Readers are guided through the technological infrastructure underpinning this vision, including advanced digital frameworks, IoT, AI, blockchain, and quantum computing. Through practical real-life case studies, the book presents how Society 5.0 transforms education, urban living, manufacturing, and agriculture, promoting lifelong learning, smart cities, human-robot collaboration, and sustainable production. It also addresses critical challenges such as privacy, inequality, and ethical AI, while highlighting opportunities for inclusive growth and environmental sustainability. The book concludes with future perspectives; the book empowers readers to understand, anticipate, and contribute to a more human-centric, sustainable, and technologically advanced society.

This book presents the best papers from the International Conference on Data Science for Computational Security (IDSCS 2025), organized by CHRIST (Deemed to be University), Bangalore, India, from 14–15 November, 2025. This book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithm design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents the best papers from the International Conference on Data Science for Computational Security (IDSCS 2025), hosted by CHRIST (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, held on November 14–15, 2025. This book covers current research in data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithm design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020.

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020.

This book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021.

This book gives a thorough and systematic introduction to Data, Data Sources, Dimensions of Data, Privacy, and Security Challenges associated with Data, Ethics, Laws, IPR Copyright, and Technology Law. This book will help students, scholars, and practitioners to understand the challenges while dealing with data and its ethical and legal aspects.

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2022), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 11 – 12 February 2022.

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08–09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08–09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2023), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02–04 November, 2023.

The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy.