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Privacy-Preserving in Edge Computing, Gao Longxiang, Luan Tom H., Gu Bruce


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Цена: 20962.00р.
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Автор: Gao Longxiang, Luan Tom H., Gu Bruce
Название:  Privacy-Preserving in Edge Computing
ISBN: 9789811621987
Издательство: Springer
Классификация:





ISBN-10: 9811621985
Обложка/Формат: Hardcover
Страницы: 113
Вес: 0.36 кг.
Дата издания: 02.06.2021
Язык: English
Размер: 23.39 x 15.60 x 0.97 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm.


Scientific computing with case studies

Автор: O`leary, Dianne P. (university Of Maryland, Colleg
Название: Scientific computing with case studies
ISBN: 0898716667 ISBN-13(EAN): 9780898716665
Издательство: Mare Nostrum (Eurospan)
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Цена: 14045.00 р.
Наличие на складе: Нет в наличии.

Описание: This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.

Fog/Edge Computing for Security, Privacy, and Applications

Автор: Chang Wei, Wu Jie
Название: Fog/Edge Computing for Security, Privacy, and Applications
ISBN: 3030573273 ISBN-13(EAN): 9783030573270
Издательство: Springer
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Part I: Overview of Fog/Edge Computing

1. "Confluence of 4G LTE, 5G, fog, and cloud computing and understanding security issues"

Khaldoon Alshouiliy (University of Cincinnati, USA)

Dharma Agrawal (University of Cincinnati, USA)

2. "An overview of the Edge Computing in Modern Digital Age"

Reinaldo Padilha Franзa (University of Campinas- UNICAMP, Brazil)

Ana Carolina Borges Monteiro (University of Campinas- UNICAMP, Brazil)

Rangel Arthur (University of Campinas- UNICAMP, Brazil)

Yuzo Lano (University of Campinas- UNICAMP, Brazil)

Part II: Security in Fog/Edge Computing

3. "Secure Search and Storage Services in Fog/Edge Computing"

Qin Liu (Hunan University, China)

4. "Collaborative Intrusion Detection Schemes in Fog-to-Things Computing"

Abebe Diro (La Trobe University, Australia)

Abdun Mahmood (La Trobe University, Australia)

Naveen Chilamkurti (La Trobe University, Australia)

5. "On the Feasibility of Byzantine Agreement to Secure Fog/Edge Data Management"

Ali Shoker (VORTEX Colab, Portugal)

Hussam Yactine (INESC TEC and Universidade do Minho, Portugal)

Part III: Privacy in Fog/Edge Computing

6. "Privacy Issues in Edge Computing"

Qi Xia (College of William and Mary, USA)

Zeyi Tao (College of William and Mary, USA)

Qun Li (College of William and Mary, USA)

7. "Privacy-preserving Edge Video Analytics"

Miao Hu (Sun Yat-sen University, China)

Yao Fu (Sun Yat-sen University, China)

Di Wu (Sun Yat-sen University, China)

Part IV: Architectural Design in Fog/Edge Computing

8. "Vulnerabilities in Fog/Edge Computing from Architectural Perspectives"

Nhu-Ngoc Dao (Sejong University, South Korea)

Ngoc-Thanh Dinh (Soongsil University, South Korea)

Quoc-Viet Pham (Pusan National University, South Korea)

Trung V. Phan (Technische Universitдt Chemnitz, Germany)

Sungrae Cho (Chung-Ang University, South Korea)

Torsten Braun (University of Bern, Switzerland)

9. "Security and Intelligent Management for Fog/Edge Computing Resources"

Jun Wu (Shanghai Jiao Tong University, China)

10. "Algorithms for NFV-Enabled Multicasting in Mobile Edge Computing"

Zichuan Xu (Dalian University of Technology, China)

Weifa Liang (The Australian National University, Australia)

11. "Blockchain-based Security Services for Fog Computing"

Arvind Kiwelekar (Dr. Babasaheb Ambedkar Technological University, India)

Pramod Patil (Dr. Babasaheb Ambedkar Technological University, India

Laxman D. Netak (Dr. Babasaheb Ambedkar Technological University, India)

Sanjay U Waikar (Dr. Babasaheb Ambedkar Technological University, India)

Part V: Applications of Fog/Edge Computing

12. "Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions"

G. S. S. Chalapathi (BITS Pilani, Pilani Campus, India, and The University of Melbourne, Australia)

Vinay Chamola (BITS Pilani, Pilani Campus,

Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving

Автор: Gosse Laurent
Название: Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving
ISBN: 8847058554 ISBN-13(EAN): 9788847058552
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book book explores the ways that elaborate flux functions can be constructed, mainly in a one-dimensional context for hyperbolic systems admitting shock-type solutions and also for kinetic equations in the discrete-ordinate approximation.

Introducing Python: Modern Computing in Simple Packages

Автор: Bill Lubanovic
Название: Introducing Python: Modern Computing in Simple Packages
ISBN: 1492051365 ISBN-13(EAN): 9781492051367
Издательство: Wiley
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Цена: 7126.00 р.
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Описание: Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3.

Preserving Privacy in On-Line Analytical Processing (OLAP)

Автор: Lingyu Wang; Sushil Jajodia; Duminda Wijesekera
Название: Preserving Privacy in On-Line Analytical Processing (OLAP)
ISBN: 1441942785 ISBN-13(EAN): 9781441942784
Издательство: Springer
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Preserving Privacy for On-Line Analytical Processing addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data.

Preserving Privacy for On-Line Analytical Processing is appropriate for practitioners in industry as well as graduate-level students in computer science and engineering.

Privacy-Preserving Data Mining

Автор: Charu C. Aggarwal; Philip S. Yu
Название: Privacy-Preserving Data Mining
ISBN: 1441943714 ISBN-13(EAN): 9781441943712
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book proposes a number of techniques to perform data mining tasks in a privacy-preserving way. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively.

Preserving Privacy Against Side-Channel Leaks

Автор: Liu
Название: Preserving Privacy Against Side-Channel Leaks
ISBN: 3319426427 ISBN-13(EAN): 9783319426426
Издательство: Springer
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Цена: 10760.00 р.
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Описание:

This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains.
First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy.
Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.

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