Optimizing Fully Homomorphic Encryption
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Optimizing Privacy Preserving Inference With Fully Homomorphic Encryption
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Author : 簡辰哲
language : en
Publisher:
Release Date : 2022
Optimizing Privacy Preserving Inference With Fully Homomorphic Encryption written by 簡辰哲 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.
Nature Inspired Optimization Algorithms For Cyber Physical Systems
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Author : Sajid, Mohammad
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Nature Inspired Optimization Algorithms For Cyber Physical Systems written by Sajid, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
Cyber-physical systems (CPS) integrate computation, communication, control, and physical elements to achieve shared goals with minimal human intervention, encompassing smart technologies such as cities, cloud computing, and smart grids. As CPS components expand, generating vast amounts of data, they face challenges in areas like resource management, security, computation offloading, and automation, demanding advanced techniques beyond traditional algorithms. Nature-inspired optimization algorithms, drawing on natural phenomena, offer scalable and adaptable solutions for these complex issues, making them essential for addressing CPS challenges efficiently and enhancing their role in our daily lives. Nature-Inspired Optimization Algorithms for Cyber-Physical Systems provides relevant theoretical frameworks and the latest empirical research findings in the area. It explores the nature-inspired optimization algorithms intended to boost the performance of CPS. Covering topics such as ant colony optimization, data analysis, and smart cities, this book is an excellent resource for teaching staff, researchers, academicians, graduate and postgraduate students, and more.
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.
Xehe An Intel Gpu Accelerated Fully Homomorphic Encryption Library A Sycl Sparkler Making The Most Of C And Sycl
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Author : Alexander Lyashevsky
language : en
Publisher: James Reinders
Release Date : 2023-04-02
Xehe An Intel Gpu Accelerated Fully Homomorphic Encryption Library A Sycl Sparkler Making The Most Of C And Sycl written by Alexander Lyashevsky and has been published by James Reinders this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-02 with Computers categories.
This installment of a "SYCL Sparkler" explores in depth a way to implement a reasonably efficient implementation for Homomorphic Encryption using modern C++ with SYCL. As a result of their work, the authors learned some valuable optimization techniques and insights that the they have taken time to share in this very interesting and detailed piece. A key value of using C++ with SYCL, is the ability to be portable while supporting the ability to optimize at a lower level when it is deemed worth the effort. This work helps illustrate how the authors isolated that optimization work, and their thought process on how to pick what to optimize. The code for this implementation is available open source online. None of the performance numbers shown are intended to provide guidance on hardware selection. The authors offer their results and observations to illustrate the magnitude of changes that may correspond to the optimizations being discussed. Readers will find the information valuable to motivate their own optimization work on their applications using some of the techniques highlighted by these authors. Key Insights shared include: pros/cons of a hand-tuned vISA, memory allocation overheads, multi-tile scaling, event-based profiling, algorithm tuning, measuring of device throughput, developing with 'dualities' to increase portability and performance portability.
Handbook Of Research On The Iot Cloud Computing And Wireless Network Optimization
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Author : Singh, Surjit
language : en
Publisher: IGI Global
Release Date : 2019-03-29
Handbook Of Research On The Iot Cloud Computing And Wireless Network Optimization written by Singh, Surjit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Computers categories.
ICT technologies have contributed to the advances in wireless systems, which provide seamless connectivity for worldwide communication. The growth of interconnected devices and the need to store, manage, and process the data from them has led to increased research on the intersection of the internet of things and cloud computing. The Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization is a pivotal reference source that provides the latest research findings and solutions for the design and augmentation of wireless systems and cloud computing. The content within this publication examines data mining, machine learning, and software engineering, and is designed for IT specialists, software engineers, researchers, academicians, industry professionals, and students.
Optimizing Fully Homomorphic Encryption
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Author : Kevin C. King
language : en
Publisher:
Release Date : 2016
Optimizing Fully Homomorphic Encryption written by Kevin C. King and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Fully homomorphic encryption (FHE) presents the possibility of removing the need to trust cloud providers with plaintext data. We present two new FHE scheme variants of BGV'12, both of which remove the need for key switching after a ciphertext multiplication, overall halving the runtime of bootstrapping. We also present multiple implementations of 32-bit integer addition evaluation, the fastest of which spends 16 seconds computing the addition circuit and 278 seconds bootstrapping. We nd that bootstrapping consumes approximately 90% of the computation time for integer addition and secure parameter settings are currently bottlenecked by the memory size of commodity hardware.
Data Driven Modeling And Optimization Applications To Social Computing
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Author : Chao Gao
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-14
Data Driven Modeling And Optimization Applications To Social Computing written by Chao Gao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Science categories.
Swarm Optimization For Biomedical Applications
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Author : Saurav Mallik
language : en
Publisher: CRC Press
Release Date : 2025-02-28
Swarm Optimization For Biomedical Applications written by Saurav Mallik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.
Model Optimization Methods For Efficient And Edge Ai
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Author : Pethuru Raj Chelliah
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-13
Model Optimization Methods For Efficient And Edge Ai written by Pethuru Raj Chelliah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more. The first part of the text covers popular AI and ML methods, platforms, and applications, describing leading AI frameworks and libraries in order to clearly articulate how these tools can help with visualizing and implementing highly flexible AI models quickly. The second part focuses on federated learning, discussing its basic concepts, applications, platforms, and its potential in edge systems (such as IoT). Other topics covered include: Building AI models that are destined to solve several problems, with a focus on widely articulated classification, regression, association, clustering, and other prediction problems Generating actionable insights through a variety of AI algorithms, platforms, parallel processing, and other enablers Compressing AI models so that computational, memory, storage, and network requirements can be substantially reduced Addressing crucial issues such as data confidentiality, data access rights, data protection, and access to heterogeneous data Overcoming cyberattacks on mission-critical software systems by leveraging federated learning Written in an accessible manner and containing a helpful mix of both theoretical concepts and practical applications, Model Optimization Methods for Efficient and Edge AI is an essential reference on the subject for graduate and postgraduate students, researchers, IT professionals, and business leaders.
Privacy Enhancing Techniques
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Author : Xun Yi
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Privacy Enhancing Techniques written by Xun Yi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book provides a comprehensive exploration of advanced privacy-preserving methods, ensuring secure data processing across various domains. This book also delves into key technologies such as homomorphic encryption, secure multiparty computation, and differential privacy, discussing their theoretical foundations, implementation challenges, and real-world applications in cloud computing, blockchain, artificial intelligence, and healthcare. With the rapid growth of digital technologies, data privacy has become a critical concern for individuals, businesses, and governments. The chapters cover fundamental cryptographic principles and extend into applications in privacy-preserving data mining, secure machine learning, and privacy-aware social networks. By combining state-of-the-art techniques with practical case studies, this book serves as a valuable resource for those navigating the evolving landscape of data privacy and security. Designed to bridge theory and practice, this book is tailored for researchers and graduate students focused on this field. Industry professionals seeking an in-depth understanding of privacy-enhancing technologies will also want to purchase this book.