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.
By 2020, experts forecast that up to 28 billion devices will be connected to the Internet with only one third of them being computers, smartphones and tablets. The remaining two thirds will be other "devices" - sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other "things" - which traditionally have not been Internet enabled. This "Internet of Things" (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined. In a nutshell the Internet of Things (IoT) is the convergence of connecting people, things, data and processes is transforming our life, business and everything in between. Secure and Smart Internet of Things explores many aspects of the Internet of Things and explain many of the completed principles of IoT and the new advances in IoT including using Fog Computing , AI and Blockchain technology. The topics discussed in the book include: Internet of Things (IoT)Industrial Internet of Things (IIoT)Fog ComputingArtificial IntelligenceBlockchain Technology Network SecurityZero-Trust Model Data Analytics Digital TransformationDDoSSmart DevicesCybersecurity
Blockchain and artificial intelligence (AI) in industrial internet of things is an emerging field of research at the intersection of information science, computer science, and electronics engineering. The radical digitization of industry coupled with the explosion of the internet of things (IoT) has set up a paradigm shift for industrial and manufacturing companies. There exists a need for a comprehensive collection of original research of the best performing methods and state-of-the-art approaches in this area of blockchain, AI, and the industrial internet of things in this new era for industrial and manufacturing companies. Blockchain and AI Technology in the Industrial Internet of Things compares different approaches to the industrial internet of things and explores the direct impact blockchain and AI technology have on the betterment of the human life. The chapters provide the latest advances in the field and provide insights and concerns on the concept and growth of the industrial internet of things. While including research on security and privacy, supply chain management systems, performance analysis, and a variety of industries, this book is ideal for professionals, researchers, managers, technologists, security analysts, executives, practitioners, researchers, academicians, and students looking for advanced research and information on the newest technologies, advances, and approaches for blockchain and AI in the industrial internet of things.
Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy. The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the role these technologies play in augmented reality and blockchain, covers digital currency managed with bitcoin, and discusses deep learning and how it can enhance human thoughts and behaviors. Targeted audiences range from those interested in the technical revolution of blockchain, big data and the Internet of Things, to research scholars and the professional market.
The Internet of Things (IoT) is a technology that enables a network of physical items (things) to sense physical events, transmit data, and interact with their environment in order to make decisions or monitor certain processes and occurrences without the need for human contact. This may be accomplished through the use of the internet. The desire to make it simpler to collect data in real time and to offer automatic and remotecontrol mechanisms as a substitute for the conventional monitoring and control systems used in many sectors today was one of the most significant reasons for the development of IoT systems. This goal has been one of the most important reasons for the development of IoT systems. Manufacturing, environmental monitoring, digital agriculture, smart cities and homes, business management, and asset tracking are some of the sectors that fall under this category. It is expected that the number of devices that are connected to one another will have topped 20 billion by the year 2020. Because of these growing demands and the huge penetration of IoT across a wide variety of rising industries, quick innovation in the existing IoT protocols, technologies, and architectures is necessary, as well as significant work to define IoT standards that will enable these developments. The Internet of Things (IoT) generates large volumes of data, which demands the availability of network connectivity as well as power, processing, and storage resources in order to transform this data into information or services that have any value. When implementing IoT networks, it is vital to emphasize cybersecurity and data privacy in addition to guaranteeing consistent connections and the scalability of the network. Other important considerations include ensuring that the network can be expanded. At the moment, centralized architectural models are utilized in an extensive manner to authenticate, authorize, and link the numerous nodes that make up an Internet of Things network. Moreover, these models are used to represent the Internet of Things. Because there will be a rising number of devices, which might reach hundreds of billions, centralized systems will break down and fail when the centralized server is not accessible. As a potential answer to this issue, a decentralized architecture for the Internet of Things was proposed. This design relocates some of the processing tasks that occur within the network to the periphery of the network.
It has been demonstrated that the evolution of information and communication technology may result in the construction of industrial applications and systems that are extraordinarily effective, intelligent, and savvy. One possible outcome of this development is the creation of artificial intelligence. The Internet of Things (IoT) is an initiative that aims to facilitate the interconnection of intelligent devices, collect and evaluate data from a variety of sources, and provide goods and services to end users, application groups, and industries including farms, governments, transportation systems, healthcare management systems, and so on. The Internet of Things (IoT) is an acronym that stands for the Internet of Everything. The Internet of Things (IoT) and digital technologies have found increased application within the framework of smart cities, which has resulted in the rise of new difficulties within the new digital ecosystem. These difficulties have brought about the emergence of brand-new difficulties. Machine learning and artificial intelligence algorithms have been used to various electronic devices that have been deployed in smart cities along with platforms for the Internet of Things (IoT). These cities also contain a wide range of electronic gadgets. Because of this, smart cities are currently at their most resourceful and technologically sophisticated state to date. In spite of this, buildings continue to be the most important component of a city, and as a consequence, the most critical component of an ecosystem for a smart city. Because of this, in addition to the intelligent devices and services that have been developed in a smart city, the recording of the characteristics of a building will be the basis of the IoT platforms and the services that are offered in an integrated digital ecosystem. This is because the recording of the features of a building will be the foundation of the IoT platforms and the services that are given in an integrated digital ecosystem. This documentation will be carried out with the assistance of Building Information Modeling (BIM), and it will be combined with the information collected from intelligent apps and smart gadgets that have been developed. Even though the communication infrastructure provides the desirable QoS (for example, through the expansion of fiber optics networks, development of broadband wireless networks, WSNs, MIMO and 5G Technologies, modern short range communication, etc.), the application of Blockchain will help to address the security issues in the BIM IoT architecture. This is because Blockchain uses cryptography to verify transactions. This is due to the fact that transactions on Blockchain are verified using cryptography. In order to accomplish this objective, it will be necessary to reduce the number of third parties who have access to the sensitive information that is being sought. The Architecture, Engineering, and Construction (AEC) industry is comprised of a significant number of stakeholders in the construction industry as a whole. Since they've been doing their jobs in the same way for several decades, these stakeholders have developed a habit of doing everything exactly the same way. In spite of this, the AEC sector has not demonstrated the same amount of excitement for digital transformation as other industries (such as the manufacturing industry, the aerospace industry, or the financial industry, for example). In point of fact, the architecture, engineering, and construction (AEC) industry is one of the sectors that has undergone the least degree of digital transformation, and many individuals who are considered to be economic experts believe that this is one of the contributing causes to the stagnation or decline in Despite this, the construction industry is a strategically important part of economies, both in terms of the amount of production it creates and the number of employments it offers. This is due to the fact that the building industry generates a significant number of job opportunities. The construction industry in Europe employs a total of 18 million people and is responsible for around 9 percent of the region's gross domestic output. This industry provides employment for more than 18 million people. The total value of its output is 1,300,000,000,000,000 euro. The capacity of "change resistant" construction businesses to continue to be competitive over the long term would be put in peril if these companies failed to acknowledge the significance of transformation as being significant. This would put the ability of these companies to continue to be competitive in jeopardy. The construction sector has been making significant strides in recent years toward selfreform through the use of innovative technologies that have a significant amount of unrealized potential for the advancement of information and communications technology (ICT). This is being done in order to find a solution to the issue that has been affecting the industry for some time now.
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book. Several use cases with IoT, biomedical engineering, and smart cities are also incorporated. As Blockchain is a relatively new technology that exploits decentralized networks and is used in many sectors for reliable, cost-effective and rapid business transactions, this book is a welcomed addition on existing knowledge. Financial services, retail, insurance, logistics, supply chain, public sectors and biomedical industries are now investing in Blockchain research and technologies for their business growth. Blockchain prevents double spending in financial transactions without the need of a trusted authority or central server. It is a decentralized ledger platform that facilitates verifiable transactions between parties in a secure and smart way. - Presents the evolution of blockchain, from fundamental theories, to present forms - Explains the concepts of blockchain related to cloud/edge computing, smart healthcare, smart cities and Internet of Things (IoT) - Provides complete coverage of the various tools, platforms and techniques used in blockchain - Explores smart contract tools and consensus algorithms - Covers a variety of applications with real world case studies in areas such as biomedical engineering, supply chain management, and tracking of goods and delivery
Blockchain, Internet of Things, and Artificial Intelligence provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT, and AI technologies. State-of-the-art techniques are explored in depth to discuss the challenges in each domain. The convergence of these revolutionized technologies has leveraged several areas that receive attention from academicians and industry professionals, which in turn promotes the book's accessibility more extensively. Discussions about an integrated perspective on the influence of blockchain, IoT, and AI for smart cities, healthcare, and other business sectors illuminate the benefits and opportunities in the ecosystems worldwide. The contributors have focused on real-world examples and applications and highlighted the significance of the strengths of blockchain to transform the readers’ thinking toward finding potential solutions. The faster maturity and stability of blockchain is the key differentiator in artificial intelligence and the Internet of Things. This book discusses their potent combination in realizing intelligent systems, services, and environments. The contributors present their technical evaluations and comparisons with existing technologies. Theoretical explanations and experimental case studies related to real-time scenarios are also discussed. FEATURES Discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information Elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches 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 Presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain Provides readers with an awareness of how industry can avoid some of the pitfalls of traditional data-sharing strategies This book is suitable for graduates, academics, researchers, IT professionals, and industry experts.
