Cryptography Arithmetic: Algorithms and Hardware Architectures, Omondi Amos R.
Автор: Oded Goldreich Название: Foundations of Cryptography ISBN: 0521035368 ISBN-13(EAN): 9780521035361 Издательство: Cambridge Academ Рейтинг: Цена: 8395.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on the basic mathematical tools needed for cryptographic design: computational difficulty (one-way functions), pseudorandomness and zero-knowledge proofs.
Автор: Goldreich, Oded Название: Foundations of cryptography: volume 2, basic applications ISBN: 052111991X ISBN-13(EAN): 9780521119917 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building on the basic tools presented in the first volume, this second volume of Foundations of Cryptography contains a rigorous and systematic treatment of three basic applications: Encryption, Signatures, and General Cryptographic Protocols. It is suitable for use in a graduate course on cryptography and as a reference book for experts.
Автор: Volker Diekert, Manfred Kufleitner, Gerhard Rosenberger, Ulrich Hertrampf Название: Discrete Algebraic Methods: Arithmetic, Cryptography, Automata and Groups ISBN: 3110413329 ISBN-13(EAN): 9783110413328 Издательство: Walter de Gruyter Цена: 6499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The idea behind this book is to provide the mathematical foundations for assessing modern developments in the Information Age. It deepens and complements the basic concepts, but it also considers instructive and more advanced topics. The treatise starts with a general chapter on algebraic structures; this part provides all the necessary knowledge for the rest of the book. The next chapter gives a concise overview of cryptography. Chapter 3 on number theoretic algorithms is important for developping cryptosystems, Chapter 4 presents the deterministic primality test of Agrawal, Kayal, and Saxena. The account to elliptic curves again focuses on cryptographic applications and algorithms. With combinatorics on words and automata theory, the reader is introduced to two areas of theoretical computer science where semigroups play a fundamental role.The last chapter is devoted to combinatorial group theory and its connections to automata. Contents:Algebraic structuresCryptographyNumber theoretic algorithmsPolynomial time primality testElliptic curvesCombinatorics on wordsAutomataDiscrete infinite groups
Автор: SIKHAR PATRANABIS; Debdeep Mukhopadhyay Название: Fault Tolerant Architectures for Cryptography and Hardware Security ISBN: 9811338191 ISBN-13(EAN): 9789811338199 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book uses motivating examples and real-life attack scenarios to introduce readers to the general concept of fault attacks in cryptography. It offers insights into how the fault tolerance theories developed in the book can actually be implemented, with a particular focus on a wide spectrum of fault models and practical fault injection techniques, ranging from simple, low-cost techniques to high-end equipment-based methods. It then individually examines fault attack vulnerabilities in symmetric, asymmetric and authenticated encryption systems. This is followed by extensive coverage of countermeasure techniques and fault tolerant architectures that attempt to thwart such vulnerabilities. Lastly, it presents a case study of a comprehensive FPGA-based fault tolerant architecture for AES-128, which brings together of a number of the fault tolerance techniques presented. It concludes with a discussion on how fault tolerance can be combined with side channel security to achieve protection against implementation-based attacks. The text is supported by illustrative diagrams, algorithms, tables and diagrams presenting real-world experimental results.
Описание: The blockchain revolution has drastically impacted global economics and the strategic practices within different industries. Cryptocurrency specifically has forever changed the face of business and the implementation of business online. While innovative, people are still in the early stages of building and developing blockchain technology and its applications, and it is critical that researchers and practitioners obtain a better understanding of this global phenomenon. Architectures and Frameworks for Developing and Applying Blockchain Technology is an essential reference source that presents the technological foundation, recent research findings, developments, and critical issues associated with blockchain technology from both computer science and social science perspectives. Featuring topics such as artificial intelligence, digital economy, and network technology, this book is ideally designed for academics, researchers, industry leaders, IT consultants, engineers, programmers, practitioners, government officials, policymakers, and students.
Описание: This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.
Описание: Offers current perspectives and trends in biologically inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of research papers and surveys introduces researches in the fields of communication networks, performance modeling, and distributed computing to new advances in networking.
Описание: Computer vision is one of the most complex and computationally intensive problem. Hence, not only are the comput- ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif- ferent characteristics.
COMBS: First Open-Source based Benchmark Suite for Multi-Physics Simulation Relevant HPC Research.- Efficient Sorting and Join on NVM-Based Hybrid Memory.- Parallel SCC Detection Based on Reusing Warps and Coloring Partitions on GPUs.- Procedure and Loop Level Speculative Parallelism Analysis in HPEC.- CTA: A Critical Task Aware Scheduling Mechanism for Dataflow Architecture.- An Adaptive Thread Partitioning Approach in Speculative Multithreading.- PMC-based dynamic adaptive CPU and DRAM power modeling.- A Multi-threaded Algorithm for Capacity Constrained Assignment over Road Networks.- A Dynamic Scheduling Strategy of ADMM Sub-problem Optimization Algorithm Based on Hierachical Structure.- An Improved Heterogeneous Dynamic List Schedule Algorithm.- FastThetaJoin: An Optimization on Multi-way Data Stream $\theta$-join with Range Constraints.- A Distributed Framework for Online Stream Data Clustering.- End-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks.- Broad Learning System with Proportional-Integral-Differential Gradient Descent.- Accelerating De Novo Assembler WTDBG2 on Commodity Servers.- Typing Everywhere With EMG Keyboard: A Novel Myo Armband-based HCI Tool.- Accelerating Pattern Matching on Intel Xeon Phi Processors.- Redistributing and Optimizing High-Resolution Ocean Model POP2 to Million Sunway Cores.- Performance Optimization for Feature Extraction Section of DeepChem.- Principal Component Analysis Based Fingerprint Positioning.- Priority Based Service Placement Strategy in Heterogeneous Mobile Edge Computing.- VTC: a scheduling framework between soft real-time and hard real-time on multimedia OS.- A BSP Based Approach For NFAs Intersection.- Tight Bound of Parallel Request Latency for Erasure-Coded Distributed Storage System.- High-Performance Simulations on GPUs using Adaptive Time Steps.- Performance Modeling of Stencil Computation on SW26010 Processors.- Optimizing B+-Tree Searches on coupled CPU-GPU architectures.- OCVM: Optimizing the Isolation of Virtual Machines with Open-Channel SSDs.- CANRT: A Client-Active NVM-based Radix Tree for Fast Remote Access.- Distributed and Parallel Ensemble Classification for Big Data Based on Kernel Density Estimation and Random Sample Partition.- SWAF: A Distributed Solar WSN Adaptive Framework.- Formalizing and Verifying Decentralized Systems with Extended Concurrent Separation Logic.- PRIAG: Proximal Reweighted Incremental Aggregated Gradient Algorithm for Distributed Optimizations.- Decentralized Expectation Maximization Algorithm.- Towards a Deep-pipelined Architecture for Accelerating Deep GCN on a Multi-FPGA Platform.- Linear Scalability from Sharding and PoS.- Tree2tree Structural Language Modeling for Compiler Fuzzing.- Research and Design of Distribution Equipment Health Early Warning System.- Parallel Processing Algorithms for the Vehicle Routing Problem and its Variants: A Literature Review with a Look into the Future.- Multi-Scaled Non-Local Means Parallel Filters for Medical Image Denoising.- Optimized HybridSketch: More Efficient with Analysis and Algorithm.- An Overlapping Community Detection Algorithm based on Triangle Reduction Weighted for Large-scale Complex Network.- Parallel Belief Propagation Optimized by Coloring on GPUs.- A Multiplatform Parallel Approach for Lattice Sieving Algorithms.- Effect of Evaporation on Aggregation Kinetics of Clusters: A Monte Carlo Simulation Study.- Processing in Memory Assisted MEC 3C Resource Allocation for Computation Offloading.- Beacons Selection Based Localization in Wireless Sensor Networks.- A Periodic Variable Star Observation System with High Accuracy Based on Star Sensors.
Автор: Carretero Название: Algorithms and Architectures for Parallel Processing ISBN: 3319499556 ISBN-13(EAN): 9783319499550 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.
Автор: SIKHAR PATRANABIS; Debdeep Mukhopadhyay Название: Fault Tolerant Architectures for Cryptography and Hardware Security ISBN: 9811013861 ISBN-13(EAN): 9789811013867 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It offers insights into how the fault tolerance theories developed in the book can actually be implemented, with a particular focus on a wide spectrum of fault models and practical fault injection techniques, ranging from simple, low-cost techniques to high-end equipment-based methods.
Автор: Nan Zheng, Pinaki Mazumder Название: Learning in Energy–Efficient Neuromorphic Computing ISBN: 1119507383 ISBN-13(EAN): 9781119507383 Издательство: Wiley Рейтинг: Цена: 15990.00 р. Наличие на складе: Поставка под заказ.
Описание:
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications
This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities--and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks.
The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware.
Includes cross-layer survey of hardware accelerators for neuromorphic algorithms
Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency
Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing
Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.
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