Machine Learning Blockchain And Cyber Security In Smart Environments

Author : Sarvesh Tanwar
Publisher : CRC Press
ISBN 13 : 1000623912
Total Pages : 313 pages
Book Rating : 4.18/5 ( download)

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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.

Author : Khang
Publisher : Wiley-Blackwell
ISBN 13 : 9781394270637
Total Pages : 0 pages
Book Rating : 4.31/5 ( download)

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Download or read book AI-Embedded Blockchain Technologies and Applicatio Ns: Enhancing Cybersecurity Systems in Smart Envir Onments written by Khang and published by Wiley-Blackwell. This book was released on 2025-02-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Sarvesh Tanwar
Publisher : CRC Press
ISBN 13 : 1000623823
Total Pages : 235 pages
Book Rating : 4.26/5 ( download)

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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 235 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.

Author : Mourade Azrour
Publisher : CRC Press
ISBN 13 : 100384488X
Total Pages : 164 pages
Book Rating : 4.84/5 ( download)

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Download or read book Blockchain and Machine Learning for IoT Security written by Mourade Azrour and published by CRC Press. This book was released on 2024-02-09 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Xiaofeng Chen
Publisher : Springer Nature
ISBN 13 : 9813367261
Total Pages : 168 pages
Book Rating : 4.65/5 ( download)

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Download or read book Cyber Security Meets Machine Learning written by Xiaofeng Chen and published by Springer Nature. This book was released on 2021-07-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

Author : Hadis Karimipour
Publisher : Springer Nature
ISBN 13 : 3030766136
Total Pages : 250 pages
Book Rating : 4.39/5 ( download)

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Download or read book AI-Enabled Threat Detection and Security Analysis for Industrial IoT written by Hadis Karimipour and published by Springer Nature. This book was released on 2021-08-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.

Author : Krishna Kant Singh
Publisher : John Wiley & Sons
ISBN 13 : 1119761743
Total Pages : 258 pages
Book Rating : 4.47/5 ( download)

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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.

Author : Hamid Jahankhani
Publisher : Springer Nature
ISBN 13 : 3031522729
Total Pages : 329 pages
Book Rating : 4.27/5 ( download)

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Download or read book Cybersecurity and Artificial Intelligence written by Hamid Jahankhani and published by Springer Nature. This book was released on with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Tushar Bhardwaj
Publisher : Springer Nature
ISBN 13 : 3031285816
Total Pages : 144 pages
Book Rating : 4.13/5 ( download)

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Download or read book Artificial Intelligence in Cyber Security: Theories and Applications written by Tushar Bhardwaj and published by Springer Nature. This book was released on 2023-11-10 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the applications and theory of artificial intelligence in the domain of cybersecurity. The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity.

Author : Uttam Ghosh
Publisher : CRC Press
ISBN 13 : 1040012558
Total Pages : 260 pages
Book Rating : 4.50/5 ( download)

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Download or read book Secure and Smart Cyber-Physical Systems written by Uttam Ghosh and published by CRC Press. This book was released on 2024-07-26 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS. Features Presents cutting-edge topics and research in IoT and CPS Includes contributions from leading worldwide researchers Focuses on CPS architectures for secure and smart environments Explores AI/ML and blockchain approaches for providing security and privacy to CPS including smart grids, smart cities, and smart healthcare Provides comprehensive guidance into the intricate world of software development for medical devices Covers a blueprint for the emergence of 6G communications technology in Industry 5.0 and federated-learning-based secure financial services This book covers state-of-the-art problems, existing solutions, and potential research directions for CPS researchers, scholars, and professionals in both industry and academia.