Machine Learning Blockchain And Cyber Security In Smart Environments
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Machine Learning Blockchain And Cyber Security In Smart Environments
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Author : Sarvesh Tanwar
language : en
Publisher: CRC Press
Release Date : 2022-08-31
Machine Learning Blockchain And Cyber Security In Smart Environments written by Sarvesh Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Computers categories.
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.
Machine Learning Blockchain And Cyber Security In Smart Environments
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Author : Sarvesh Tanwar
language : en
Publisher: CRC Press
Release Date : 2022-08-31
Machine Learning Blockchain And Cyber Security In Smart Environments written by Sarvesh Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Computers categories.
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.
Internet Of Things And Secure Smart Environments
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Author : Uttam Ghosh
language : en
Publisher: Chapman & Hall/CRC Big Data Series
Release Date : 2022-05
Internet Of Things And Secure Smart Environments written by Uttam Ghosh and has been published by Chapman & Hall/CRC Big Data Series this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05 with Internet of things categories.
This book will provide a comprehensive overview of recent research and open problems in the area of IoT research. It will cover state of the art problems, present solutions, and open research directions and will be targeted to researchers and scholars in both industry and academia.
Blockchains For Network Security
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Author : Haojun Huang
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2020-11-13
Blockchains For Network Security written by Haojun Huang and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Computers categories.
Blockchain technology is a powerful, cost-effective method for network security. Essentially, it is a decentralized ledger for storing all committed transactions in trustless environments by integrating several core technologies such as cryptographic hash, digital signature and distributed consensus mechanisms.
Artificial Intelligence Blockchain Computing And Security Volume 2
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Author : Arvind Dagur
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Artificial Intelligence Blockchain Computing And Security Volume 2 written by Arvind Dagur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
Proceedings Of Icactce 23 The International Conference On Advances In Communication Technology And Computer Engineering
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Author : Celestine Iwendi
language : en
Publisher: Springer Nature
Release Date : 2023-09-23
Proceedings Of Icactce 23 The International Conference On Advances In Communication Technology And Computer Engineering written by Celestine Iwendi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-23 with Technology & Engineering categories.
Today, communication technology and computer engineering are intertwined, with advances in one field driving advances in the other, leading to the development of outstanding technologies. This book delves into the latest trends and breakthroughs in the areas of communication, Internet of things, cloud computing, big data, artificial intelligence, and machine learning. This book discusses challenges and opportunities that arise with the integration of communication technology and computer engineering. In addition, the book examines the ethical and social implications, including issues related to privacy, security, and digital divide and law. We have explored the future direction of these fields and the potential for further breakthroughs and innovations. The book is intended for a broad audience of undergraduate and graduate students, practicing engineers, and readers without a technical background who have an interest in learning about communication technology and computer engineering.
Smart And Agile Cybersecurity For Iot And Iiot Environments
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Author : Al-Haija, Qasem Abu
language : en
Publisher: IGI Global
Release Date : 2024-07-18
Smart And Agile Cybersecurity For Iot And Iiot Environments written by Al-Haija, Qasem Abu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-18 with Computers categories.
The world we live in today is highly interconnected and has seen a significant rise in the use of the Internet of Things (IoT) and Industrial Internet of Things (IIoT). This digital transformation, while beneficial, has also created new cybersecurity challenges. Cyber threats are becoming more sophisticated and frequent, and individuals and organizations alike must adopt intelligent and agile cybersecurity solutions to safeguard their digital assets. Smart and Agile Cybersecurity for IoT and IIoT Environments addresses this pressing challenge by providing a comprehensive guide to securing IoT and IIoT environments. The book offers insights into the latest cybersecurity strategies and technologies, from intelligent threat detection to agile security approaches. By delving into data privacy, network security, and incident response, readers can gain the knowledge and skills to fortify their cybersecurity posture and mitigate risks effectively.
The Intersection Of 6g Ai Machine Learning And Embedded Systems
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Author : Shruti Sharma
language : en
Publisher: CRC Press
Release Date : 2025-03-24
The Intersection Of 6g Ai Machine Learning And Embedded Systems written by Shruti Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Technology & Engineering categories.
This comprehensive guide to the emerging areas and synergistic relationships among the domains of 6G, machine learning, and embedded systems offers readers a detailed analysis of their converging paths and contributions to the development of intelligent wireless systems. Readers will gain a solid understanding of the principles and technologies behind 6G, machine learning, and embedded systems. They will learn how these three areas intertwine and why this intersection is pivotal for the next generation of wireless technologies. The contributors to this volume present a thorough and detailed analysis of this technology, highlighting its promising features, underlying technologies, and potential applications. The book first explores various applications of machine learning algorithms in areas such as network optimization, resource allocation, interference management, and intelligent data processing and analysis. Design considerations and challenges are presented, and case studies of innovative applications, such as smart cities, autonomous vehicles, healthcare, and industrial automation, are examined. The book concludes with a discussion of future trends and opportunities in this rapidly evolving field. Readers will benefit from the theoretical foundations and practical insights presented within and will be prepared to address future challenges and opportunities in these three fields. This book is a valuable resource for academic researchers and industry professionals working in the fields of wireless communication, machine learning, embedded systems, and artificial intelligence.
Smart Sensor Networks
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Author : Umang Singh
language : en
Publisher: Springer Nature
Release Date : 2021-09-01
Smart Sensor Networks written by Umang Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.
Learning Techniques For The Internet Of Things
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Author : Praveen Kumar Donta
language : en
Publisher: Springer Nature
Release Date : 2024-02-19
Learning Techniques For The Internet Of Things written by Praveen Kumar Donta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Computers categories.
The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial Intelligence, computing platforms, and enabling communications technologies such as 5G networks. To highlight these challenges in practice, the chapter also presents a real-world case study of a city-scale deployment of IoT air quality monitoring within Helsinki city. Chapter 7 uses digital twins within smart cities to enhance economic progress and facilitate prompt decision-making regarding situational awareness. Chapter 8 provides insights into using Multi-Objective reinforcement learning in future IoT networks, especially for an efficient decision-making system. Chapter 9 offers a comprehensive review of intelligent inference approaches, with a specific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. Chapter 10 summarizes the applications of deep learning models in various IoT fields. This chapter also presents an in-depth study of these techniques to examine new horizons of applications of deep learning models in different areas of IoT. Chapter 11 explores the integration of Quantum Key Distribution (QKD) into IoT systems. It delves into the potential benefits, challenges, and practical considerations of incorporating QKD into IoT networks. In chapter 12, a comprehensive overview regarding the current state of quantum IoT in the context of smart healthcare is presented, along with its applications, benefits, challenges, and prospects for the future. Chapter 13 proposes a blockchain-based architecture for securing and managing IoT data in intelligent transport systems, offering advantages like immutability, decentralization, and enhanced security.