Название: Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
Автор: Моhаmmаd S. Оbаidаt, Раdmаlауа Nауаk, Nirаnjаn К. Rау
Издательство: CRC Press
Год: 2024
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 14.1 MB

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. Chapter 1 is an introductory chapter that discusses the challenges involved in IoT 2.0, the integration of IoT and big data, and the role of blockchain in IoT networks to ensure security. In Chapter 2, the authors have provided a detailed review of blockchain technology and its impact on the IoT network. However, several challenges are discussed in this chapter that need to be addressed and overcome before exploiting the full potential of the blockchain in IoT applications. Chapter 3 presents an overview of cloud architecture, services, and applications of cloud technology. A real-time cloud-based weather forecasting system is presented. 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.

Название: Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications
Автор: Rаjgаnеsh Nаgаrаjаn, Sеnthil Кumаr Nаrауаnаsаmу
Издательство: CRC Press
Год: 2024
Страниц: 429
Язык: английский
Формат: pdf (true)
Размер: 20.0 MB

The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as Computer Science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Blockchain, Deep Learning, and Machine Learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools.

Название: Computational Intelligence and Blockchain in Complex Systems: System Security and Interdisciplinary Applications
Автор: Fаdi Аl-Тurjmаn
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 320
Язык: английский
Формат: epub, mobi
Размер: 11.0 MB

Computational Intelligence and Blockchain in Complex Systems: System Security and Interdisciplinary Applications 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 a number of applications, including healthcare, insurance, smart grid, smart contracts, digital currency, precision agriculture, and the supply chain. The authors cover the unique and developing intersection between cybersecurity and Blockchain in modern networks, as well as in-depth studies on cybersecurity 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. This book 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.

Название: Healthcare Services in the Metaverse: Game Theory, AI, IoT, and Blockchain
Автор: Sаurаv Маllik, Аnjаn Ваndуораdhуау, Ruifеng Нu
Издательство: CRC Press
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 10.4 MB

This book focuses on game theory approaches utilized on various domains viz., IoT, blockchain and their applications to biomedical and healthcare services. The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques such as game theoretic approach, blockchain technology basically utilized for security, and IoT applied on metaverse. Healthcare Services in the Metaverse: Game Theory, AI, IoT, and Blockchain, identifies the potential areas where game theory and block chain techniques can be harnessed in the metaverse. The book discusses the integration of virtual reality (VR) with augmented reality to identify the new emerging techniques in healthcare to metaverse, where doctors and/or patients can see any kind of operation in the VR metaverse. The authors use game theoretical and blockchain approaches to understand healthcare issues, with the aim of utilizing different technologies of metaverse platform for health informatics. This book is written to help healthcare practitioners and individuals across academia and research, as well as for those who work in biomedical, Internet of Things (IoT), Artificial Intelligence (AI), Metaverse, VR, blockchain, and related technologies.

Название: Blockchain and Digital Twin Enabled IoT Networks: Privacy and Security Perspectives
Автор: Rаndhir Кumаr, Рrаbhаt Кumаr, Sоbin С.С.
Издательство: CRC Press
Год: 2025
Страниц: 235
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc. This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.

Название: Digital Image Security: Techniques and Applications
Автор: Аmit Кumаr Singh, Stеfаnо Веrrеtti, Аshimа Аnаnd
Издательство: CRC Press
Год: 2024
Страниц: 351
Язык: английский
Формат: pdf (true)
Размер: 29.6 MB

This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas. It further discusses important topics such as biometric imaging, big data security and privacy in healthcare, security and privacy in the internet of things, and security in cloud-based image processing. Information security is more crucial for data storage and transmission today. Images are employed in many procedures since they may convey a lot more info. As a result, picture encryption and decryption algorithms play a crucial role in the security of image data. Digital images are employed in a variety of industries, including the medical, military, and private sectors. In a public setting, when unauthorized users and hostile attackers are present, safe communication between two parties is accomplished using cryptography. Encryption and decryption are two operations carried out at the transmitter and receiver ends, respectively, in cryptography. This book will serve as an ideal reference text for senior undergraduate, graduate students, academic researchers, and professionals in the fields including electrical engineering, electronics, communications engineering, and computer engineering.

Название: WSN and IoT: An Integrated Approach for Smart Applications
Автор: Shаlli Rаni, Аshu Таnеjа
Издательство: CRC Press
Год: 2024
Страниц: 407
Язык: английский
Формат: pdf (true)
Размер: 15.5 MB

Nowadays, all of us are connected through a large number of sensor nodes, smart devices, and wireless terminals. For these Internet of Things (IoT) devices to operate seamlessly, the Wireless Sensor Network (WSN) needs to be robust to support huge volumes of data for information exchange, resource optimization, and energy efficiency. This book provides in-depth information about the emerging paradigms of IoT and WSN in new communication scenarios for energy-efficient and reliable information exchange between a large number of sensor nodes and applications. WSN and IoT: An Integrated Approach for Smart Applications discusses how the integration of IoT and WSN enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of Machine Learning (ML), Artificial Intelligence (AI), Deep Learning (DL), and blockchain technologies which give way to intelligent networks. This book presents how technological advancement is beneficial for real-time applications involving a massive number of devices and discusses how the network carries huge amounts of data allowing information to be communicated over the Internet.

Название: Blockchain-Based Data Security in Heterogeneous Communications Networks
Автор: Dоngхiао Liu, Хuеmin (Shеrmаn) Shеn
Издательство: Springer
Серия: Wireless Networks
Год: 2024
Страниц: 200
Язык: английский
Формат: pdf (true), epub
Размер: 12.5 MB

This book investigates data security approaches in Heterogeneous Communications Networks (HCN). First, the book discusses the urgent need for a decentralized data management architecture in HCN. The book investigates preliminaries and related research to help readers obtain a comprehensive picture of the research topic. Second, the book presents three blockchain-based approaches for data management in HCN: data provenance, data query, and data marketing. Finally, based on the insights and experiences from the presented approaches, the book discusses future research directions. Blockchain is a ledger that is maintained by distributed network nodes. More specifically, it consists of blocks of peer-to-peer transactions. With consensus protocols, such as Proof-of-Work (PoW), the blockchain helps ensure a consistent view of ledger storage among mutually distrusted network nodes. Using the blockchain as a trusted machine for program execution, smart contract can be deployed for managing shared business logic. Specifically, smart contract can define terms and conditions for participants to change ledger storage. For DM in future networks, smart contract can help network stakeholders to collaboratively manage data lifecycle events over the blockchain for data sharing and processing.

Название: Exploring Blockchain Applications: Management Perspectives
Автор: Sеzеr Воzkus Каhуаоglu, Vаhар Тесim
Издательство: CRC Press
Год: 2024
Страниц: 304
Язык: английский
Формат: pdf (true)
Размер: 11.5 MB

In this book, the development process of blockchain algorithms and examples of their applications in different sectors are explored. The opportunities and challenges of blockchain implementations that arise in making technological innovations usable in corporate structures are discussed. In this respect, the book aims to deal with both the conceptual framework and the real challenges and opportunities encountered in practice regarding the blockchain applications. It is tried to contribute to the literature by presenting practical blockchain application suggestions to the readers on a scientific basis. It is a fact that blockchain technology is considered one of the most disruptive and revolutionary innovations after the invention of the internet. Blockchain technology, which was first used for cross-border payments, is coming up with a new application area in a different sector every day. The main purpose of Blockchain-based systems is to spread the "trust" service provided by a central intermediary to machines in transactions between two parties. Thus, it removes the need for this trust from the monopoly of a single intermediary. Blockchain implementation scenarios are to establish math-based trust in an untrusted environment.

Название: Trivergence: Accelerating Innovation with AI, Blockchain, and the Internet of Things
Автор: Воb Тарsсоtt
Издательство: Wiley
Год: 2024
Страниц: 256
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

A Breakthrough Introduction to The Next Phase of the Digital Age. In Trivergence, Bob Tapscott, writer, speaker, complex system designer, and former CIO introduces an exciting new concept in explaining how the intersection of Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT) will transform business and society. He explains the synergies between these technologies and the disruptive potential that they will offer, as well as the challenges and risks to making it happen. He offers an insightful guide through the difficult decisions that businesses and society must make to thrive in a new era where decisions will be difficult, and uncertainties abound. You'll discover how and why AI's power is now exploding, its growth driven by smarter approaches to neural networks trained on a new hardware architecture that can derive its intelligence from ever more massive datasets. AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that had previously required human cognitive functions. From recognizing patterns in vast datasets to making recommendations for decision-making, AI is transforming industries such as healthcare, finance, and manufacturing. AI-powered virtual assistants, self-driving cars, and personalized content recommendations are just a glimpse of its potential. The significance of AI lies in its ability to automate complex tasks, enhance efficiency, and uncover insights hidden within data. Recent advances in Deep Learning have expanded beyond focusing on analyzing complex data sets to make predictions to generate entirely new content in data, text, speech, and image.