Making Computation On Encrypted Data Practical Through Hardware Acceleration Of Fully Homomorphic Encryption
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Making Computation On Encrypted Data Practical Through Hardware Acceleration Of Fully Homomorphic Encryption
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Author : Nikola Samardzic (Researcher in electrical engineering and computer science)
language : en
Publisher:
Release Date : 2022
Making Computation On Encrypted Data Practical Through Hardware Acceleration Of Fully Homomorphic Encryption written by Nikola Samardzic (Researcher in electrical engineering and computer science) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000x over unencrypted computation.
Advances To Homomorphic And Searchable Encryption
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Author : Stefania Loredana Nita
language : en
Publisher: Springer Nature
Release Date : 2023-09-26
Advances To Homomorphic And Searchable Encryption written by Stefania Loredana Nita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Computers categories.
This book presents the current state of the literature on the fields of homomorphic and searchable encryption, from both theoretical and practical points of view. Homomorphic and searchable encryption are still relatively novel and rapidly evolving areas and face practical constraints in the contexts of large-scale cloud computing and big data. Both encryption methods can be quantum-resistant if they use the right mathematical techniques. In fact, many fully homomorphic encryption schemes already use quantum-resistant techniques, such as lattices or characteristics of polynomials – which is what motivated the authors to present them in detail. On the one hand, the book highlights the characteristics of each type of encryption, including methods, security elements, security requirements, and the main types of attacks that can occur. On the other, it includes practical cases and addresses aspects like performance, limitations, etc. As cloud computing and big data already represent the future in terms of storing, managing, analyzing, and processing data, these processes need to be made as secure as possible, and homomorphic and searchable encryption hold huge potential to secure both the data involved and the processes through which it passes. This book is intended for graduates, professionals and researchers alike. Homomorphic and searchable encryption involve advanced mathematical techniques; accordingly, readers should have a basic background in number theory, abstract algebra, lattice theory, and polynomial algebra.
Introduction To Cryptography
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26
Introduction To Cryptography written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Protecting Privacy Through Homomorphic Encryption
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Author : Kristin Lauter
language : en
Publisher: Springer Nature
Release Date : 2022-01-04
Protecting Privacy Through Homomorphic Encryption written by Kristin Lauter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-04 with Mathematics categories.
This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working closely to standardize homomorphic encryption. This is the first publication of whitepapers created by these experts that comprehensively describes the scientific inventions, presents a concrete security analysis, and broadly discusses applicable use scenarios and markets. This book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by groups of top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research. The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.
The Invisible Engines Reshaping Tomorrow
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Author : Zen H
language : en
Publisher: Zen H
Release Date : 2025-04-07
The Invisible Engines Reshaping Tomorrow written by Zen H and has been published by Zen H this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Business & Economics categories.
We stand at the cusp of a new technological era, one defined by the powerful convergence of artificial intelligence (AI) and blockchain technology. This isn't just about incremental improvements; it's a fundamental shift in how we interact with technology, conduct business, and govern ourselves. Imagine a world where AI-powered systems, secured by immutable blockchain ledgers, manage complex financial transactions with unparalleled speed and transparency. Envision healthcare systems leveraging AI diagnostics alongside blockchain-secured patient records, ensuring both accuracy and privacy. Consider supply chains powered by AI-driven optimization and blockchain-enabled traceability, reducing waste and enhancing trust. These are not futuristic fantasies; they are real-world possibilities that are rapidly becoming realities. This book is your guide to understanding and harnessing the potential of this transformative convergence. We'll explore the core principles of both AI and blockchain, moving beyond theoretical discussions to showcase practical applications and real-world examples. From the ethical considerations that must guide development and implementation to the practical steps needed to successfully integrate these technologies, this book offers a comprehensive overview. We'll examine successful case studies, analyzing how businesses and organizations are already leveraging the power of this fusion for competitive advantage and social good. But this journey is not without its challenges. We'll also confront the potential pitfalls, discussing the challenges of scalability, security, regulation, and the ethical implications of increasingly autonomous systems. This book aims to equip you with the knowledge and understanding to navigate this dynamic landscape and to contribute to shaping a future where AI and blockchain work together for the betterment of humanity.
Crypto Anonymity
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Author : Ethan Rodriguez
language : en
Publisher: Publifye AS
Release Date : 2025-02-27
Crypto Anonymity written by Ethan Rodriguez and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Business & Economics categories.
""Crypto Anonymity"" explores the intensifying conflict between the desire for financial privacy through cryptocurrencies and the increasing regulatory pressures from governments worldwide. It examines how technologies like zero-knowledge proofs aim to provide anonymity and the potential implications of unchecked crypto usage, such as facilitating illicit activities. The book emphasizes the importance of understanding the technical mechanisms involved in privacy-focused cryptocurrencies to assess their effectiveness and vulnerabilities. The book progresses by first introducing fundamental concepts, then analyzing the regulatory landscape across different countries. It presents case studies of specific privacy coins, examines ethical considerations, and offers recommendations for policymakers, businesses, and individuals. It argues for a balanced regulatory framework that promotes innovation while preventing abuse; for example, stringent regulations could stifle innovation and drive illicit activities underground, making them harder to track. This book uniquely combines technical, legal, and ethical analyses, providing a holistic view of the crypto anonymity debate.
Securing The Future Ai And The New Age Of Data Privacy 2025
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Author : Author 1 - Khushmeet Singh, Author 2 - Dr. Arpita Roy
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Securing The Future Ai And The New Age Of Data Privacy 2025 written by Author 1 - Khushmeet Singh, Author 2 - Dr. Arpita Roy and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In an era dominated by digital transformation, the power of Artificial Intelligence (AI) and the vast growth of big data are reshaping industries, businesses, and daily life at an unprecedented scale. From predictive analytics and personalized experiences to autonomous vehicles and healthcare advancements, AI technologies are driving innovation and progress across all sectors. However, with this progress comes significant responsibility. As AI systems become more integrated into the fabric of our digital ecosystem, safeguarding the privacy and security of data has become a paramount concern. In this context, the convergence of AI and data privacy is no longer a theoretical challenge—it is a pressing reality that organizations must address in order to protect both individuals and businesses from emerging risks and vulnerabilities. Securing the Future: AI and the New Age of Data Privacy delves into the complexities of AI’s role in the evolving landscape of data protection and privacy. As AI systems become more powerful, their capacity to process vast amounts of personal and sensitive data grows exponentially. This has raised important ethical and legal questions surrounding the collection, use, and storage of data, as well as the transparency and accountability of AI-driven decisions. With incidents of data breaches, surveillance, and misuse of personal information increasingly in the news, it is clear that traditional data privacy frameworks are no longer sufficient to address the challenges posed by AI technologies. This book seeks to explore the intersection of AI and data privacy from multiple perspectives, offering an in-depth analysis of the technological, legal, and ethical considerations at play. It examines the privacy risks inherent in AI systems, such as algorithmic biases, unauthorized data access, and the potential for mass surveillance. Furthermore, it outlines the evolving regulatory landscape, examining how governments and regulators around the world are addressing the complexities of data protection in the age of AI, including the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other emerging frameworks. One of the central themes of this book is the balance between innovation and privacy. While AI technologies can unlock enormous benefits for businesses and consumers alike, they must be deployed responsibly to avoid infringing on individuals’ rights and freedoms. This balance is crucial as organizations seek to leverage AI for growth and efficiency while safeguarding the privacy and security of the data that fuels these technologies. By exploring privacy-enhancing technologies (PETs), secure AI design, and data governance frameworks, this book offers practical strategies for building AI systems that are both innovative and privacy-conscious. Another key focus of this book is the future of data privacy in AI. As AI continues to evolve, so too must our approaches to data protection. From decentralized data storage and differential privacy to explainable AI (XAI) and AI ethics, this book provides insight into how emerging technologies and approaches can help address privacy concerns while maintaining the efficacy and intelligence of AI systems. The future of AI and data privacy lies in the ability to integrate privacy by design into the core of AI development processes, ensuring that data protection is not an afterthought but a foundational element of innovation. As we move further into the digital age, securing personal and sensitive data is not just a legal requirement—it is a moral imperative. Securing the Future: AI and the New Age of Data Privacy aims to provide readers with a comprehensive understanding of the complex relationship between AI and data privacy, offering practical guidance, thought leadership, and a roadmap for navigating the challenges and opportunities that lie ahead. Whether you are a technologist, data privacy professional, or business leader, this book will serve as an invaluable resource for understanding how AI is transforming data privacy and how we can collectively secure a future where innovation and privacy can coexist harmoniously. In the pages that follow, we embark on a journey to secure the future by not only embracing the transformative power of AI but also ensuring that data privacy remains central to its development and deployment. Authors
Information Systems
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Author : Marinos Themistocleous
language : en
Publisher: Springer Nature
Release Date : 2025-02-24
Information Systems written by Marinos Themistocleous and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
The two-volume set LNBIP 535 + 536 constitutes selected papers from the 21st European, Mediterranean, and Middle Eastern Conference, EMCIS 2024, which was held in Athens, Greece, during September 2-3, 2024. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 53 papers presented in the proceedings were carefully reviewed and selected from a total of 152 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence; Blockchain Technology and Applications; Metaverse, Immersive Technologies and Games; Smart Cities; Classical and Emerging Digital Governance – The Artificial Intelligence Era; Part II: Management Information Systems; Advanced Topics in Information Systems; Core Topics in Information Systems; Information Systems Security, Information Privacy Protection and Trust Management.
Advances In Cryptology Crypto 2024
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Author : Leonid Reyzin
language : en
Publisher: Springer Nature
Release Date : 2024-08-15
Advances In Cryptology Crypto 2024 written by Leonid Reyzin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-15 with Computers categories.
The 10-volume set, LNCS 14920-14929 constitutes the refereed proceedings of the 44th Annual International Cryptology Conference, CRYPTO 2024. The conference took place at Santa Barbara, CA, USA, during August 18-22, 2024. The 143 full papers presented in the proceedings were carefully reviewed and selected from a total of 526 submissions. The papers are organized in the following topical sections: Part I: Digital signatures; Part II: Cloud cryptography; consensus protocols; key exchange; public key encryption; Part III: Public-key cryptography with advanced functionalities; time-lock cryptography; Part IV: Symmetric cryptanalysis; symmetric cryptograph; Part V: Mathematical assumptions; secret sharing; theoretical foundations; Part VI: Cryptanalysis; new primitives; side-channels and leakage; Part VII: Quantum cryptography; threshold cryptography; Part VIII: Multiparty computation; Part IX: Multiparty computation; private information retrieval; zero-knowledge; Part X: Succinct arguments.
Elgar Encyclopedia Of Law And Data Science
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Author : Comandé, Giovanni
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-02-18
Elgar Encyclopedia Of Law And Data Science written by Comandé, Giovanni and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-18 with Law categories.
This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.