Blockchain And Machine Learning For Iot Security

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Blockchain and Machine Learning for IoT Security

Author : Mourade Azrour,Jamal Mabrouki,Azidine Guezzaz,Said Benkirane
Publisher : CRC Press
Page : 164 pages
File Size : 49,8 Mb
Release : 2024-02-09
Category : Computers
ISBN : 9781003844884

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Blockchain and Machine Learning for IoT Security by Mourade Azrour,Jamal Mabrouki,Azidine Guezzaz,Said Benkirane Pdf

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems. Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions. Key Features: Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions Presents a well-rounded overview of the most recent advances in IoT security and privacy Discusses practical solutions and real-world cases for IoT solutions in various areas Provides solutions for securing IoT against various threats Discuses Blockchain technology as a solution for IoT This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies.

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Author : Chowdhury, Niaz,Chandra Deka, Ganesh
Publisher : IGI Global
Page : 255 pages
File Size : 47,9 Mb
Release : 2020-10-30
Category : Computers
ISBN : 9781799858775

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Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications by Chowdhury, Niaz,Chandra Deka, Ganesh Pdf

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.

Securing IoT in Industry 4.0 Applications with Blockchain

Author : P Kaliraj,T. Devi
Publisher : CRC Press
Page : 248 pages
File Size : 42,5 Mb
Release : 2021-12-03
Category : Computers
ISBN : 9781000484649

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Securing IoT in Industry 4.0 Applications with Blockchain by P Kaliraj,T. Devi Pdf

The Industry 4.0 revolution is changing the world around us. Artificial intelligence and machine learning, automation and robotics, big data, Internet of Things, augmented reality, virtual reality, and creativity are the tools of Industry 4.0. Improved collaboration is seen between smart systems and humans, which merges humans' critical and cognitive thinking abilities with highly accurate and fast industrial automation. Securing IoT in Industry 4.0 Applications with Blockchain examines the role of IoT in Industry 4.0 and how it can be made secure through various technologies including blockchain. The book begins with an in-depth look at IoT and discusses applications, architecture, technologies, tools, and programming languages. It then examines blockchain and cybersecurity, as well as how blockchain achieves cybersecurity. It also looks at cybercrimes and their preventive measures and issues related to IoT security and trust. Features An overview of how IoT is used to improve the performance of Industry 4.0 systems The evolution of the Industrial Internet of Things (IIoT), its proliferation and market share, and some examples across major industries An exploration of how smart farming is helping farmers prevent plant disease The concepts behind the Internet of Nano Things (IoNT), including the nanomachine and nanonetwork architecture and nano-communication paradigms A look at how blockchains can enhance cybersecurity in a variety of applications, including smart contracts, transferring financial instruments, and Public Key Infrastructure An overview of the structure and working of a blockchain, including the types, evolution, benefits, and applications of blockchain to industries A framework of technologies designed to shield networks, computers, and data from malware, vulnerabilities, and unauthorized activities An explanation of the automation system employed in industries along with its classification, functionality, flexibility, limitations, and applications

Security and Trust Issues in Internet of Things

Author : Sudhir Kumar Sharma,Bharat Bhushan,Bhuvan Unhelkar
Publisher : CRC Press
Page : 314 pages
File Size : 55,8 Mb
Release : 2020-12-03
Category : Computers
ISBN : 9781000288421

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Security and Trust Issues in Internet of Things by Sudhir Kumar Sharma,Bharat Bhushan,Bhuvan Unhelkar Pdf

The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and Blockchain. The trend of applying Blockchain to IoT is rapidly growing because it helps to overcome various challenges faced by IoT, from smart manufacturing to unmanned aerial vehicles. Thise book aims to showcase the basics of both IoT and Blockchain as well as the integration and challenges for existing practitioners. Thise book initiates conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems. Thise book is theory-based and is useful for engineers from various disciplines, including industrial engineering, computer science, electronics, telecommunications, electrical, agricultural, and cybersecurity, along with researchers, professionals, and students.

Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future

Author : Sudhir K. Sharma,Bharat Bhushan,Parma N. Astya,Narayan C. Debnath
Publisher : Bentham Science Publishers
Page : 296 pages
File Size : 50,9 Mb
Release : 2021-07-08
Category : Computers
ISBN : 9781681088631

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Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future by Sudhir K. Sharma,Bharat Bhushan,Parma N. Astya,Narayan C. Debnath Pdf

This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters provide knowledge about how these technologies are applied in functions related to trust management, identity management, security threats, access control and privacy. Key Features: - Introduces the reader to fundamental concepts of IoT and blockchain technology - reports advances in the field of IoT, ubiquitous computing and blockchain computing - includes the applications of different frameworks - explains the role of blockchains in improving IT security - provides examples of smart grids, data transmission models, digital business platforms, agronomics and big data solutions - Includes references for further reading Blockchain Applications for Secure IoT Frameworks Technologies Shaping the Future is a handy reference for information technology professionals and students who want updated information about applications of IoT and blockchains in secure operational and business processes.

Machine Learning Approaches for Convergence of IoT and Blockchain

Author : Krishna Kant Singh,Akansha Singh,Sanjay K. Sharma
Publisher : John Wiley & Sons
Page : 258 pages
File Size : 50,9 Mb
Release : 2021-08-10
Category : Computers
ISBN : 9781119761747

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Machine Learning Approaches for Convergence of IoT and Blockchain by Krishna Kant Singh,Akansha Singh,Sanjay K. Sharma Pdf

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.

IoT Security Paradigms and Applications

Author : Sudhir Kumar Sharma,Bharat Bhushan,Narayan C. Debnath
Publisher : CRC Press
Page : 523 pages
File Size : 45,5 Mb
Release : 2020-10-08
Category : Computers
ISBN : 9781000172287

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IoT Security Paradigms and Applications by Sudhir Kumar Sharma,Bharat Bhushan,Narayan C. Debnath Pdf

Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment

Cryptology and Network Security with Machine Learning

Author : Bimal Kumar Roy,Atul Chaturvedi,Boaz Tsaban,Sartaj Ul Hasan
Publisher : Springer Nature
Page : 461 pages
File Size : 53,6 Mb
Release : 2023-10-17
Category : Technology & Engineering
ISBN : 9789819922291

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Cryptology and Network Security with Machine Learning by Bimal Kumar Roy,Atul Chaturvedi,Boaz Tsaban,Sartaj Ul Hasan Pdf

The book features original papers from International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2022), organized by PSIT, Kanpur, India during 16 – 18 December 2022. This conference proceeding will provide the understanding of core concepts of Cryptology & Network Security with ML in data communication. The book covers research papers in public key cryptography, elliptic curve cryptography, post quantum cryptography, lattice based cryptography, non-commutative ring based cryptography, cryptocurrency, authentication, key agreement, Hash functions, block/stream ciphers, polynomial based cryptography, code based cryptography, NTRU cryptosystems, security and privacy in machine learning, block chain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.

Integrating Artificial Intelligence and Machine Learning with Blockchain Security

Author : D. Jeya Mala,R. Ganesan
Publisher : Cambridge Scholars Publishing
Page : 302 pages
File Size : 52,5 Mb
Release : 2023-09-13
Category : Computers
ISBN : 9781527530126

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Integrating Artificial Intelligence and Machine Learning with Blockchain Security by D. Jeya Mala,R. Ganesan Pdf

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.

IoT, AI, and Blockchain for .NET

Author : Nishith Pathak,Anurag Bhandari
Publisher : Apress
Page : 321 pages
File Size : 55,8 Mb
Release : 2018-08-14
Category : Computers
ISBN : 9781484237090

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IoT, AI, and Blockchain for .NET by Nishith Pathak,Anurag Bhandari Pdf

Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Author : Sarvesh Tanwar,Sumit Badotra,Ajay Rana
Publisher : CRC Press
Page : 313 pages
File Size : 43,6 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781000623918

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Machine Learning, Blockchain, and Cyber Security in Smart Environments by Sarvesh Tanwar,Sumit Badotra,Ajay Rana Pdf

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.

Predictive Data Security using AI

Author : Hiren Kumar Thakkar,Mayank Swarnkar,Robin Singh Bhadoria
Publisher : Springer Nature
Page : 222 pages
File Size : 51,8 Mb
Release : 2022-12-01
Category : Computers
ISBN : 9789811962905

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Predictive Data Security using AI by Hiren Kumar Thakkar,Mayank Swarnkar,Robin Singh Bhadoria Pdf

This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.

Secure and Smart Internet of Things (IoT)

Author : Ahmed Banafa
Publisher : CRC Press
Page : 138 pages
File Size : 49,5 Mb
Release : 2022-09-01
Category : Science
ISBN : 9781000796421

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Secure and Smart Internet of Things (IoT) by Ahmed Banafa Pdf

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, smartwatches, 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 mobile devices 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; it is transforming our life, business and everything in between. Secure and Smart IoT explores many aspects of the Internet of Things and explains many of the complicated principles of IoT and the new advancements in IoT including using Fog Computing, AI and Blockchain technology.

Convergence of Blockchain, AI, and IoT

Author : R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam
Publisher : CRC Press
Page : 206 pages
File Size : 48,8 Mb
Release : 2021-12-23
Category : Technology & Engineering
ISBN : 9781000519327

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Convergence of Blockchain, AI, and IoT by R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam Pdf

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.

Deep Learning Techniques for IoT Security and Privacy

Author : Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding
Publisher : Springer Nature
Page : 273 pages
File Size : 52,8 Mb
Release : 2021-12-05
Category : Computers
ISBN : 9783030890254

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Deep Learning Techniques for IoT Security and Privacy by Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding Pdf

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.