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Big Data Analytics for Cyber-Physical Systems, Hu Shiyan, Yu Bei


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Автор: Hu Shiyan, Yu Bei
Название:  Big Data Analytics for Cyber-Physical Systems
ISBN: 9783030434939
Издательство: Springer
Классификация:






ISBN-10: 3030434931
Обложка/Формат: Hardcover
Страницы: 270
Вес: 0.58 кг.
Дата издания: 26.06.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 59 tables, color; 64 illustrations, color; 33 illustrations, black and white; xi, 270 p. 97 illus., 64 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components.


Big Data Privacy Preservation for Cyber-Physical Systems

Автор: Miao Pan; Jingyi Wang; Sai Mounika Errapotu; Xinyu
Название: Big Data Privacy Preservation for Cyber-Physical Systems
ISBN: 3030133699 ISBN-13(EAN): 9783030133696
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. Cyber-physical systems (CPS) are the “next generation of engineered systems,” that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS.This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide.

Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems

Автор: Li Beibei, Lu Rongxing, Xiao Gaoxi
Название: Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems
ISBN: 3030586715 ISBN-13(EAN): 9783030586713
Издательство: Springer
Цена: 13974.00 р.
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Описание:

Introduction.- Foundations and Related Literature.- SPNTA: Stochastic Petri-Net-Based Reliability Analysis under Topology Attacks.- DHCD: Distributed Host-Based Collaborative Detection for FDI Attacks.- DDOA: Dirichlet-Based Detection for Opportunistic Attacks.- PFDD: On Feasibility and Limitations of Detecting FDI Attacks Using DFACTS.- Conclusion.

Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis

Автор: Rokka Chhetri Sujit, Al Faruque Mohammad Abdullah
Название: Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis
ISBN: 3030379612 ISBN-13(EAN): 9783030379612
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach.

Decision Support Systems V – Big Data Analytics for Decision Making

Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha
Название: Decision Support Systems V – Big Data Analytics for Decision Making
ISBN: 3319185322 ISBN-13(EAN): 9783319185323
Издательство: Springer
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Цена: 5590.00 р.
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Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.

Advances in Cyber Security Analytics and Decision Systems

Автор: Shishir K. Shandilya; Neal Wagner; Atulya K. Nagar
Название: Advances in Cyber Security Analytics and Decision Systems
ISBN: 3030193527 ISBN-13(EAN): 9783030193522
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.

Security-Aware Design for Cyber-Physical Systems: A Platform-Based Approach

Автор: Lin Chung-Wei, Sangiovanni-Vincentelli Alberto
Название: Security-Aware Design for Cyber-Physical Systems: A Platform-Based Approach
ISBN: 3319846213 ISBN-13(EAN): 9783319846217
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Addressing the rising security issues during the design stages of cyber-physical systems, this book develops a systematic approach to address security at early design stages together with all other design constraints.

Logical Foundations of Cyber-Physical Systems

Автор: Platzer Andre
Название: Logical Foundations of Cyber-Physical Systems
ISBN: 3030096971 ISBN-13(EAN): 9783030096977
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Cyber-physical systems (CPSs) combine cyber capabilities, such as computation or communication, with physical capabilities, such as motion or other physical processes. Cars, aircraft, and robots are prime examples, because they move physically in space in a way that is determined by discrete computerized control algorithms. Designing these algorithms is challenging due to their tight coupling with physical behavior, while it is vital that these algorithms be correct because we rely on them for safety-critical tasks.This textbook teaches undergraduate students the core principles behind CPSs. It shows them how to develop models and controls; identify safety specifications and critical properties; reason rigorously about CPS models; leverage multi-dynamical systems compositionality to tame CPS complexity; identify required control constraints; verify CPS models of appropriate scale in logic; and develop an intuition for operational effects.The book is supported with homework exercises, lecture videos, and slides.

Business Analytics

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 7406.00 р.
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Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

Автор: Sukhan Lee; Hanseok Ko; Songhwai Oh
Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
ISBN: 3030080307 ISBN-13(EAN): 9783030080303
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems

Автор: Moamar Sayed-Mouchaweh
Название: Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems
ISBN: 3030091147 ISBN-13(EAN): 9783030091149
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Cyber-physical systems (CPS) are characterized as a combination of physical (physical plant, process, network) and cyber (software, algorithm, computation) components whose operations are monitored, controlled, coordinated, and integrated by a computing and communicating core. The interaction between both physical and cyber components requires tools allowing analyzing and modeling both the discrete and continuous dynamics. Therefore, many CPS can be modeled as hybrid dynamic systems in order to take into account both discrete and continuous behaviors as well as the interactions between them. Guaranteeing the security and safety of CPS is a challenging task because of the inherent interconnected and heterogeneous combination of behaviors (cyber/physical, discrete/continuous) in these systems. This book presents recent and advanced approaches and tech-niques that address the complex problem of analyzing the diagnosability property of cyber physical systems and ensuring their security and safety against faults and attacks. The CPS are modeled as hybrid dynamic systems using different model-based and data-driven approaches in different application domains (electric transmission networks, wireless communication networks, intrusions in industrial control systems, intrusions in production systems, wind farms etc.). These approaches handle the problem of ensuring the security of CPS in presence of attacks and verifying their diagnosability in presence of different kinds of uncertainty (uncertainty related to the event occurrences, to their order of occurrence, to their value etc.).

Drones as Cyber-Physical Systems

Автор: Jung-Sup Um
Название: Drones as Cyber-Physical Systems
ISBN: 9811337403 ISBN-13(EAN): 9789811337406
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book introduces the concept of using drones as a teaching tool to explore the fundamental principles, technology and applications of Cyber-Physical Systems (CPS).A short introduction sets CPS in the context of the 4th industrial revolution, and describes various CPS technologies including self-driving cars, commercial intelligent drones and mobile robots, in which artificial intelligence routinely supports smarter decision-making. The core of the book then focuses on commercially available drones, the only available system offering the advantage of cyber-physical bridging through 3D autonomous dynamic flying in classroom conditions. Chapters describe drone technology, including location sensors and imaging systems. CPS theory is explained through typical drone flying procedures and do-it-yourself (DIY) aerial photography in which communication between sensors, actuators and controllers occurs through cyber-physical bi-directional bridging.This book opens new possibilities in fostering 4th industrial revolution literacy, introducing relevant examples from readily available equipment, making core elements of cyber-physical bridging accessible. It is aimed primarily at those students who have an interest in CPS, drones and those from disciplines that are concerned with spatial information.

Design Automation of Cyber-Physical Systems

Автор: Mohammad Abdullah Al Faruque; Arquimedes Canedo
Название: Design Automation of Cyber-Physical Systems
ISBN: 3030130495 ISBN-13(EAN): 9783030130497
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents the state-of-the-art and breakthrough innovations in design automation for cyber-physical systems.The authors discuss various aspects of cyber-physical systems design, including modeling, co-design, optimization, tools, formal methods, validation, verification, and case studies. Coverage includes a survey of the various existing cyber-physical systems functional design methodologies and related tools will provide the reader unique insights into the conceptual design of cyber-physical systems.


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