Security and Trust Management PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Security and Trust Management PDF full book. Access full book title Security and Trust Management by Fabio Martinelli. Download full books in PDF and EPUB format.
Author: Fabio Martinelli
Publisher: Springer Nature
ISBN: 3031763718
Category :
Languages : en
Pages : 159
Get Book Here
Book Description
Author: Fabio Martinelli
Publisher: Springer Nature
ISBN: 3031763718
Category :
Languages : en
Pages : 159
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9781581131406
Category : Computer architecture
Languages : en
Pages : 306
Get Book Here
Book Description
Author: Yongxuan Lai
Publisher: Springer Nature
ISBN: 3030953882
Category : Computers
Languages : en
Pages : 757
Get Book Here
Book Description
The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows: Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.
Author: Haibo Chen
Publisher:
ISBN: 9781450350853
Category :
Languages : en
Pages :
Get Book Here
Book Description
SOSP '17: ACM SIGOPS 26th Symposium on Operating Systems Principles Oct 28, 2017-Oct 28, 2017 Shanghai, China. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author: Yuriy S. Shmaliy
Publisher: Springer Nature
ISBN: 981976937X
Category :
Languages : en
Pages : 643
Get Book Here
Book Description
Author: Austin Parker
Publisher: O'Reilly Media
ISBN: 149205660X
Category : Computers
Languages : en
Pages : 330
Get Book Here
Book Description
Since most applications today are distributed in some fashion, monitoring their health and performance requires a new approach. Enter distributed tracing, a method of profiling and monitoring distributed applications—particularly those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be. With this guide, you’ll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at LightStep and other organizations walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful operational insights. If you want to implement distributed tracing, this book tells you what you need to know. You’ll learn: The pieces of a distributed tracing deployment: instrumentation, data collection, and analysis Best practices for instrumentation: methods for generating trace data from your services How to deal with (or avoid) overhead using sampling and other techniques How to use distributed tracing to improve baseline performance and to mitigate regressions quickly Where distributed tracing is headed in the future
Author: Dhabaleswar K. Panda
Publisher: MIT Press
ISBN: 0262046857
Category : Computers
Languages : en
Pages : 275
Get Book Here
Book Description
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.
Author: Mehdi Tibouchi
Publisher: Springer Nature
ISBN: 3031334914
Category : Computers
Languages : en
Pages : 735
Get Book Here
Book Description
The LNCS two-volume set 13905 and LNCS 13906 constitutes the refereed proceedings of the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Tokyo, Japan, during June 19-22, 2023. The 53 full papers included in these proceedings were carefully reviewed and selected from a total of 263 submissions. They are organized in topical sections as follows: Part I: side-channel and fault attacks; symmetric cryptanalysis; web security; elliptic curves and pairings; homomorphic cryptography; machine learning; and lattices and codes. Part II: embedded security; privacy-preserving protocols; isogeny-based cryptography; encryption; advanced primitives; multiparty computation; and Blockchain.
Author: Leen Lambers
Publisher: Springer Nature
ISBN: 3031308263
Category : Computers
Languages : en
Pages : 344
Get Book Here
Book Description
This open access book constitutes the proceedings of the 26th International Conference on Fundamental Approaches to Software Engineering, FASE 2023, which was held during April 22-27, 2023, in Paris, France, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023. The 12 regular papers presented in this volume were carefully reviewed and selected from 50 submissions. The proceedings also contain 2 tool papers, 2 NIER papers, and 2 competition papers from the Test-Comp Competition. The papers deal with the foundations on which software engineering is built, including topics like software engineering as an engineering discipline, requirements engineering, software architectures, software quality, model-driven development, software processes, software evolution, AI-based software engineering, and the specification, design, and implementation of particular classes of systems, such as (self-)adaptive, collaborative, AI, embedded, distributed, mobile, pervasive, cyber-physical, or service-oriented applications. .
Author: Jörg Drechsler
Publisher: CRC Press
ISBN: 1040118747
Category : Business & Economics
Languages : en
Pages : 338
Get Book Here
Book Description
Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature—specifically, synthetic data, formal privacy, and secure computation—can be used to manage trade-offs in disclosure risk and data usefulness. Key features: • Provides overviews of the potential and the limitations of synthetic data, differential privacy, and secure computation • Offers an accessible review of methods for implementing differential privacy, both from methodological and practical perspectives • Presents perspectives from both computer science and statistical science for addressing data confidentiality and privacy • Describes genuine applications of synthetic data, formal privacy, and secure computation to help practitioners implement these approaches The handbook is accessible to both researchers and practitioners who work with confidential data. It requires familiarity with basic concepts from probability and data analysis.
