Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology

Author: Mohammad S. Obaidat

Publisher: CRC Press

Published: 2024-05-23

Total Pages: 418

ISBN-13: 1040019633

DOWNLOAD EBOOK

The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches. The book offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas. It also presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain. The book is aimed primarily at advanced undergraduates and graduates studying computer science, computer engineering, electrical engineering, information systems, computational sciences, artificial intelligence, and information technology. Researchers and professionals will also find this book very useful.

Blockchain for Big Data
Blockchain for Big Data

Author: Shaoliang Peng

Publisher: CRC Press

Published: 2023-09-25

Total Pages: 0

ISBN-13: 9781032063133

DOWNLOAD EBOOK

In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analysing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology has been highly praised and recognised for its decentralised infrastructure, anonymity, security, and other characteristics, and it will change the way we access and share information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application of blockchain technology in the field of big data and assesses the attendant advantages and challenges while discussing the possible future directions of the convergence of blockchain and big data. After mastering concepts and technologies introduced in this work, readers will be able to understand the technical evolution, similarities, and differences between blockchain and big data technology, allowing them to further apply it in their development and research.--Publisher website.

Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities
Convergence Of Artificial Intelligence And Blockchain Technologies, The: Challenges And Opportunities

Author: Sam Goundar

Publisher: World Scientific

Published: 2022-05-18

Total Pages: 462

ISBN-13: 9811225087

DOWNLOAD EBOOK

This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Author: Taser, Pelin Yildirim

Publisher: IGI Global

Published: 2021-11-05

Total Pages: 334

ISBN-13: 1799841871

DOWNLOAD EBOOK

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Blockchain Technology for Data Privacy Management
Blockchain Technology for Data Privacy Management

Author: Sudhir Kumar Sharma

Publisher: CRC Press

Published: 2021-03-22

Total Pages: 315

ISBN-13: 1000360016

DOWNLOAD EBOOK

The book aims to showcase the basics of both IoT and Blockchain for beginners as well as their integration and challenge discussions for existing practitioner. It aims to develop understanding of the role of blockchain in fostering security. The objective of this book is to initiate conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems. It presents a stepwise discussion, exhaustive literature survey, rigorous experimental analysis and discussions to demonstrate the usage of blockchain technology for securing communications. The book evaluates, investigate, analyze and outline a set of security challenges that needs to be addressed in the near future. The book is designed to be the first reference choice at research and development centers, academic institutions, university libraries and any institutions interested in exploring blockchain. UG/PG students, PhD Scholars of this fields, industry technologists, young entrepreneurs and researchers working in the field of blockchain technology are the primary audience of this book.

Blockchain Technology for IoE
Blockchain Technology for IoE

Author: Arun Solanki

Publisher: CRC Press

Published: 2023-09-29

Total Pages: 293

ISBN-13: 1000953335

DOWNLOAD EBOOK

This book explores opportunities and challenges in the field of Internet of Everything (IoE) security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems. It focusses on the applicability of blockchain technology, including architectures and platforms for blockchain and IoE, authentication and encryption algorithms for IoE, malicious transactions detection, blockchain for forensics, and so forth. Outlines the major benefits as well as challenges associated with integration of blockchain with IoE; Describes detailed framework to provide security in IoE using blockchain technology; Reviews various issues while using distributed ledger technologies for IoE; Provides comprehensive coverage of blockchain for IoE in securing information including encryption schemes, authentication, security issues, and challenges; Includes case studies in realistic situations like healthcare informatics, smart industry, and smart transportation. This book is aimed at researchers and graduate students in computing, cryptography, IoT, computer engineering, and networks.

Security with Intelligent Computing and Big-data Services
Security with Intelligent Computing and Big-data Services

Author: Ching-Nung Yang

Publisher: Springer

Published: 2019-04-16

Total Pages: 933

ISBN-13: 3030169464

DOWNLOAD EBOOK

This book presents the proceedings of the 2018 International Conference on Security with Intelligent Computing and Big-data Services (SICBS 2018). With the proliferation of security with intelligent computing and big-data services, the issues of information security, big data, intelligent computing, blockchain technology, and network security have attracted a growing number of researchers. Discussing topics in areas including blockchain technology and applications; multimedia security; information processing; network, cloud and IoT security; cryptography and cryptosystems; as well as learning and intelligent computing and information hiding, the book provides a platform for researchers, engineers, academics and industrial professionals from around the globe to present their work in security-related areas. It not only introduces novel and interesting ideas, but also stimulates discussions and inspires new ideas.

Advancements in Smart Computing and Information Security
Advancements in Smart Computing and Information Security

Author: Sridaran Rajagopal

Publisher: Springer Nature

Published: 2023-01-10

Total Pages: 317

ISBN-13: 3031230957

DOWNLOAD EBOOK

This two-volume constitutes the refereed proceedings of the First International Conference on Advancements in Smart Computing and Information Security, ASCIS 2022, held in Rajkot, India, in November 2022. The 37 full papers and 19 short papers presented were thoroughly reviewed and selected from the 206 submissions. The papers are organized in topical sections on artificial intelligence; smart computing; cyber security; industry.

Computational Intelligence and Blockchain in Complex Systems
Computational Intelligence and Blockchain in Complex Systems

Author: Fadi Al-Turjman

Publisher: Elsevier

Published: 2024-03-29

Total Pages: 321

ISBN-13: 0443132747

DOWNLOAD EBOOK

Computational Intelligence and Blockchain in Complex Systems provides readers with a guide to understanding the dynamics of AI, Machine Learning, and Computational Intelligence in Blockchain, and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications. The book examines the role of Computational Intelligence and Machine Learning in the development of algorithms to deploy Blockchain technology across a number of applications, including healthcare, insurance, smart grid, smart contracts, digital currency, precision agriculture, and supply chain. The authors cover the unique and developing intersection between cyber security and Blockchain in modern networks, as well as in-depth studies on cyber security challenges and multidisciplinary methods in modern Blockchain networks. Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods, especially the complex algorithms involved in Blockchain security aspects for hashing, coding, and decoding. Computational Intelligence and Blockchain in Complex Systems provides readers with the most in-depth technical guide to the intersection of Computational Intelligence and Blockchain, two of the most important technologies for the development of next generation complex systems. Covers the research issues and concepts of Machine Learning technology in Blockchain Provides in-depth information about handling and managing personal data by Machine Learning methods in Blockchain Help readers understand the links between Computational Intelligence, Blockchain, Complex Systems, and developing secure applications in multidisciplinary sectors