Integrating Artificial Intelligence And Machine Learning With Blockchain Security

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Integrating Artificial Intelligence and Machine Learning with Blockchain Security

Author : D. Jeya Mala
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527530124
Total Pages : 302 pages
Book Rating : 4.5/5 (275 download)

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Book Synopsis Integrating Artificial Intelligence and Machine Learning with Blockchain Security by : D. Jeya Mala

Download or read book Integrating Artificial Intelligence and Machine Learning with Blockchain Security written by D. Jeya Mala and published by Cambridge Scholars Publishing. This book was released on 2023-09-13 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology. In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.

Integrating Artificial Intelligence and Machine Learning with Blockchain Security

Author : D. Jeya Mala
Publisher :
ISBN 13 : 9781527530119
Total Pages : 0 pages
Book Rating : 4.5/5 (31 download)

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Book Synopsis Integrating Artificial Intelligence and Machine Learning with Blockchain Security by : D. Jeya Mala

Download or read book Integrating Artificial Intelligence and Machine Learning with Blockchain Security written by D. Jeya Mala and published by . This book was released on 2023-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology. In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.

Regulatory Aspects of Artificial Intelligence on Blockchain

Author : Tehrani, Pardis Moslemzadeh
Publisher : IGI Global
ISBN 13 : 1799879291
Total Pages : 273 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Regulatory Aspects of Artificial Intelligence on Blockchain by : Tehrani, Pardis Moslemzadeh

Download or read book Regulatory Aspects of Artificial Intelligence on Blockchain written by Tehrani, Pardis Moslemzadeh and published by IGI Global. This book was released on 2021-09-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Author : Sarvesh Tanwar
Publisher : CRC Press
ISBN 13 : 1000623912
Total Pages : 313 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning, Blockchain, and Cyber Security in Smart Environments by : Sarvesh Tanwar

Download or read book Machine Learning, Blockchain, and Cyber Security in Smart Environments written by Sarvesh Tanwar and published by CRC Press. This book was released on 2022-08-31 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.

Digital Health Transformation with Blockchain and Artificial Intelligence

Author : Chinmay Chakraborty
Publisher : CRC Press
ISBN 13 : 1000580946
Total Pages : 370 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Digital Health Transformation with Blockchain and Artificial Intelligence by : Chinmay Chakraborty

Download or read book Digital Health Transformation with Blockchain and Artificial Intelligence written by Chinmay Chakraborty and published by CRC Press. This book was released on 2022-05-10 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management

Author : Kumar, Rajeev
Publisher : IGI Global
ISBN 13 : 1668491532
Total Pages : 421 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management by : Kumar, Rajeev

Download or read book Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management written by Kumar, Rajeev and published by IGI Global. This book was released on 2023-09-25 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.

Next-Generation Cybersecurity

Author : Keshav Kaushik
Publisher : Springer Nature
ISBN 13 : 9819712491
Total Pages : 473 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Next-Generation Cybersecurity by : Keshav Kaushik

Download or read book Next-Generation Cybersecurity written by Keshav Kaushik and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Blockchain and Deep Learning

Author : Khaled R. Ahmed
Publisher : Springer Nature
ISBN 13 : 3030954196
Total Pages : 352 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Blockchain and Deep Learning by : Khaled R. Ahmed

Download or read book Blockchain and Deep Learning written by Khaled R. Ahmed and published by Springer Nature. This book was released on 2022-03-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.

Machine Learning Approaches for Convergence of IoT and Blockchain

Author : Krishna Kant Singh
Publisher : John Wiley & Sons
ISBN 13 : 1119761743
Total Pages : 258 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Approaches for Convergence of IoT and Blockchain by : Krishna Kant Singh

Download or read book Machine Learning Approaches for Convergence of IoT and Blockchain written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning, Blockchain Technologies and Big Data Analytics for Iots

Author : Amit Kumar Tyagi
Publisher : IET
ISBN 13 : 1839533390
Total Pages : 678 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Machine Learning, Blockchain Technologies and Big Data Analytics for Iots by : Amit Kumar Tyagi

Download or read book Machine Learning, Blockchain Technologies and Big Data Analytics for Iots written by Amit Kumar Tyagi and published by IET. This book was released on 2022-09 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, blockchain and big data analytics for IoTs. It is aimed at a broad audience of ICTs, Data science, machine learning and cybersecurity researchers.

Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations

Author : Sam Goundar
Publisher : Springer Nature
ISBN 13 : 3031357515
Total Pages : 336 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations by : Sam Goundar

Download or read book Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations written by Sam Goundar and published by Springer Nature. This book was released on 2023-10-03 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologies can integrate to provide a competitive edge for businesses through improvements in big data, which has allowed firms to organize huge datasets into structured components that computers can process quickly. The authors also cover security implications and how AI and Blockchain can act as a double-edged sword against cyber-attacks. Impacts in programming, calculations, robotization, robots, and equipment are also discussed. This book caters to an extensive cross-sectional and multi-disciplinary readership. Academics, researchers and their students in topics such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, and safety-critical systems should find the book of value.

Convergence of Blockchain, AI, and IoT

Author : R. Indrakumari
Publisher : CRC Press
ISBN 13 : 1000519325
Total Pages : 206 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Convergence of Blockchain, AI, and IoT by : R. Indrakumari

Download or read book Convergence of Blockchain, AI, and IoT written by R. Indrakumari and published by CRC Press. This book was released on 2021-12-23 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Author : Chowdhury, Niaz
Publisher : IGI Global
ISBN 13 : 1799858774
Total Pages : 255 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications by : Chowdhury, Niaz

Download or read book Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications written by Chowdhury, Niaz and published by IGI Global. This book was released on 2020-10-30 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.

AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Author : Bharat Bhushan
Publisher : Springer Nature
ISBN 13 : 3031319524
Total Pages : 396 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis AI Models for Blockchain-Based Intelligent Networks in IoT Systems by : Bharat Bhushan

Download or read book AI Models for Blockchain-Based Intelligent Networks in IoT Systems written by Bharat Bhushan and published by Springer Nature. This book was released on 2023-06-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

Blockchain Cybersecurity, Trust and Privacy

Author : Kim-Kwang Raymond Choo
Publisher : Springer Nature
ISBN 13 : 3030381811
Total Pages : 291 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Blockchain Cybersecurity, Trust and Privacy by : Kim-Kwang Raymond Choo

Download or read book Blockchain Cybersecurity, Trust and Privacy written by Kim-Kwang Raymond Choo and published by Springer Nature. This book was released on 2020-03-02 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with the most up-to-date knowledge of blockchain in mainstream areas of security, trust, and privacy in the decentralized domain, which is timely and essential (this is due to the fact that the distributed and P2P applications is increasing day-by-day, and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book also provides the technical information regarding blockchain-oriented software, applications, and tools required for the researcher and developer experts in both computing and software engineering to provide solutions and automated systems against current security, trust and privacy issues in the cyberspace. Cybersecurity, trust and privacy (CTP) are pressing needs for governments, businesses, and individuals, receiving the utmost priority for enforcement and improvement in almost any societies around the globe. Rapid advances, on the other hand, are being made in emerging blockchain technology with broadly diverse applications that promise to better meet business and individual needs. Blockchain as a promising infrastructural technology seems to have the potential to be leveraged in different aspects of cybersecurity promoting decentralized cyberinfrastructure. Blockchain characteristics such as decentralization, verifiability and immutability may revolve current cybersecurity mechanisms for ensuring the authenticity, reliability, and integrity of data. Almost any article on the blockchain points out that the cybersecurity (and its derivatives) could be revitalized if it is supported by blockchain technology. Yet, little is known about factors related to decisions to adopt this technology, and how it can systemically be put into use to remedy current CTP’s issues in the digital world. Topics of interest for this book include but not limited to: Blockchain-based authentication, authorization and accounting mechanisms Applications of blockchain technologies in digital forensic and threat hunting Blockchain-based threat intelligence and threat analytics techniques Formal specification of smart contracts Automated tools for outsmarting smart contracts Security and privacy aspects of blockchain technologies Vulnerabilities of smart contracts Blockchain for securing cyber infrastructure and internet of things networks Blockchain-based cybersecurity education systems This book provides information for security and privacy experts in all the areas of blockchain, cryptocurrency, cybersecurity, forensics, smart contracts, computer systems, computer networks, software engineering, applied artificial intelligence for computer security experts, big data analysts, and decentralized systems. Researchers, scientists and advanced level students working in computer systems, computer networks, artificial intelligence, big data will find this book useful as well.

Blockchain, Big Data and Machine Learning

Author : Neeraj Kumar
Publisher : CRC Press
ISBN 13 : 1000163490
Total Pages : 346 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Blockchain, Big Data and Machine Learning by : Neeraj Kumar

Download or read book Blockchain, Big Data and Machine Learning written by Neeraj Kumar and published by CRC Press. This book was released on 2020-09-25 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

AI and Blockchain Technology in 6G Wireless Network

Author : Malaya Dutta Borah
Publisher : Springer Nature
ISBN 13 : 9811928681
Total Pages : 263 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis AI and Blockchain Technology in 6G Wireless Network by : Malaya Dutta Borah

Download or read book AI and Blockchain Technology in 6G Wireless Network written by Malaya Dutta Borah and published by Springer Nature. This book was released on 2022-08-10 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights future research directions and latent solutions by integrating AI and Blockchain 6G networks, comprising computation efficiency, algorithms robustness, hardware development and energy management. This book brings together leading researchers in Academia and industry from diverse backgrounds to deliver to the technical community an outline of emerging technologies, advanced architectures, challenges, open issues and future directions of 6G networks. This book is written for researchers, professionals and students to learn about the integration of technologies such as AI and Blockchain into 6G network and communications. This book addresses the topics such as consensus protocol, architecture, intelligent dynamic resource management, security and privacy in 6G to integrate AI and Blockchain and new real-time application with further research opportunities.