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DESCRIPTION In an age where data breaches and privacy issues are growing, confidential computing offers a state-of-the-art solution. This technology helps organizations keep their most sensitive information safe, even against strong threats. Introduction to Confidential Computing provides a clear guide to this advanced cybersecurity technology. It explains why confidential computing is crucial for protecting sensitive data, covering key technologies, architectures, and frameworks. The book details remote attestation, which ensures computing environment integrity, and explores how confidential computing enhances AI training security. It also reviews solutions from major cloud providers, helping readers choose the right options. This book is perfect for anyone looking to boost their cybersecurity skills and stay ahead in data protection. By the end of this book, you will gain a thorough understanding of confidential computing and its impact on data security and privacy. You will be ready to assess and implement confidential computing solutions, safeguarding your organization's assets and meeting data privacy regulations. KEY FEATURES ● Comprehensive overview of confidential computing architectures and technologies. ● Guidance on leveraging confidential computing technologies for secure data processing and privacy protection. ● Learn how confidential computing ensures data privacy and protects AI model integrity through secure processing. WHAT YOU WILL LEARN ● Learn why confidential computing is crucial in today's digital world. ● Understand high-level architecture of various trusted execution environments implementations. ● Art of developing secure applications that can be deployed on TEE. ● Comprehend how remote attestation ensures the integrity of computing environments. ● Discover how RA-TLS could reshape the future of secure communications. ● Explore how confidential computing protects data and AI models. WHO THIS BOOK IS FOR This book is for software architects, security researchers, and developers to enhance application security using confidential computing. PhD candidates and postgraduates will explore TEEs, while AI/ML developers will understand how confidential AI protects data and models. TABLE OF CONTENTS 1. Vital Need for Confidential Computing 2. Trusted Execution Environments 3. Secure Application Development 4. Remote Attestation 5. Confidential Computing in Cloud 6. Confidential Artificial Intelligence 7. Prospects of Confidential Computing Appendix A: Enclave Initialization Instructions in Intel SGX Appendix B: Intel TDX Architectural Instructions Appendix C: Secure Boot Infrastructure Terminologies
This book examines the interconnections between artificial intelligence, data governance and private law rules with a comparative focus on selected jurisdictions in the Asia-Pacific region. The chapters discuss the myriad challenges of translating and adapting theory, doctrines and concepts to practice in the Asia-Pacific region given their differing circumstances, challenges and national interests. The contributors are legal experts from the UK, Israel, Korea, and Singapore with extensive academic and practical experience. The essays in this collection cover a wide range of topics, including data protection and governance, data trusts, information fiduciaries, medical AI, the regulation of autonomous vehicles, the use of blockchain technology in land administration, the regulation of digital assets and contract formation issues arising from AI applications. The book will be of interest to members of the judiciary, policy makers and academics who specialise in AI, data governance and/or private law or who work at the intersection of these three areas, as well as legal technologists and practising lawyers in the Asia-Pacific, the UK and the US.
In this compulsively readable and constantly surprising book, Peter Biskind, the author of the film classics Easy Riders, Raging Bulls and Down and Dirty Pictures, writes the most intimate, revealing, and balanced biography ever of Hollywood legend Warren Beatty. Famously a playboy, Beatty has also been one of the most ambitious and successful stars in Hollywood. Several Beatty films have passed the test of time, from Bonnie and Clyde to Shampoo, Heaven Can Wait, Reds (for which he won the best director Oscar), Bugsy, and Bulworth. Few filmgoers realize that along with Orson Welles, Beatty is the only person ever nominated for four Academy Awards for a single film -- and unlike Welles, Beatty did it twice. Biskind shows how Beatty used star power, commercial success, savvy, and charm to bend Hollywood moguls to his will. Beatty's private life has been the subject of gossip for decades, and Star confirms his status as Hollywood's leading man in the bedroom, describing his affairs with Joan Collins, Natalie Wood, Leslie Caron and Madonna, among many others. Biskind explains how Beatty exercised unique control, often hiring screenwriters out of his own pocket, producing, directing, and acting in his own films. He was arguably one of the most successful and creative figures in Hollywood during the second half of the twentieth century, and in this fascinating biography, Warren Beatty comes to life -- complete with excesses and achievements -- as never before.
This book features comprehensive, practical, and measureable guidelines for all aspects of acoustics in the design, construction, and evaluation of all types of healthcare facilities, including large general hospitals and specialized patient care facilities.
Collects the developments in artificial intelligence techniques, which are applied to the protection of privacy and security.
In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.
Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.
As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts.
This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.