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Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems, Li Beibei, Lu Rongxing, Xiao Gaoxi


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Автор: Li Beibei, Lu Rongxing, Xiao Gaoxi
Название:  Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems
ISBN: 9783030586713
Издательство: Springer
Классификация:


ISBN-10: 3030586715
Обложка/Формат: Hardcover
Страницы: 157
Вес: 0.44 кг.
Дата издания: 06.11.2020
Язык: English
Размер: 23.50 x 15.49 x 1.12 cm
Ссылка на Издательство: Link
Поставляется из: Германии
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.




Big Data Analytics for Cyber-Physical Systems

Автор: Hu Shiyan, Yu Bei
Название: Big Data Analytics for Cyber-Physical Systems
ISBN: 3030434931 ISBN-13(EAN): 9783030434939
Издательство: Springer
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Цена: 25155.00 р.
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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.

Engineering Safe and Secure Cyber-Physical Systems

Автор: Roman Gumzej
Название: Engineering Safe and Secure Cyber-Physical Systems
ISBN: 3319289039 ISBN-13(EAN): 9783319289038
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book introduces the concept of holistic design and development of cyber physical systems to achieve their safe and secure operation. It shows that by following the standards for embedded system`s safety and using appropriate hardware and software components inherently safe system`s architectures can be devised and certified.

Machine Learning for Cyber Physical Systems

Автор: J?rgen Beyerer; Oliver Niggemann; Christian K?hner
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662538059 ISBN-13(EAN): 9783662538050
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Cyber Physical Systems Approach to Smart Electric Power Grid

Автор: Siddhartha Kumar Khaitan; James D. McCalley; Chen
Название: Cyber Physical Systems Approach to Smart Electric Power Grid
ISBN: 3662459272 ISBN-13(EAN): 9783662459270
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book documents recent advances in the field of modeling, simulation, control, security and reliability of Cyber- Physical Systems (CPS) in power grids.

Cyber Physical Systems Approach to Smart Electric Power Grid

Автор: Siddhartha Kumar Khaitan; James D. McCalley; Chen
Название: Cyber Physical Systems Approach to Smart Electric Power Grid
ISBN: 3662512378 ISBN-13(EAN): 9783662512371
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book documents recent advances in the field of modeling, simulation, control, security and reliability of Cyber- Physical Systems (CPS) in power grids.

Data Processing Techniques and Applications for Cyber-Physical Systems (Dpta 2019)

Автор: Huang Chuanchao, Chan Yu-Wei, Yen Neil
Название: Data Processing Techniques and Applications for Cyber-Physical Systems (Dpta 2019)
ISBN: 9811514674 ISBN-13(EAN): 9789811514678
Издательство: Springer
Цена: 41925.00 р.
Наличие на складе: Поставка под заказ.

Описание: Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15-16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks;

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.

New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems

Автор: Patnaik Srikanta
Название: New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems
ISBN: 3030257800 ISBN-13(EAN): 9783030257804
Издательство: Springer
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Цена: 22359.00 р.
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Описание:

Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm.- Role of Industry 4.0 in Performance Improvement of Furniture Cluster.- Imparting Industry 4.0 Education using Open Source Tools: A Case.- Decision support framework for smart implementation of green supply chain management practices.- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry.- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers.- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach.- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.

New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems

Автор: Patnaik Srikanta
Название: New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems
ISBN: 3030257770 ISBN-13(EAN): 9783030257774
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
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Описание:

Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm.- Role of Industry 4.0 in Performance Improvement of Furniture Cluster.- Imparting Industry 4.0 Education using Open Source Tools: A Case.- Decision support framework for smart implementation of green supply chain management practices.- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry.- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers.- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach.- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.

Big Data Analytics for Cyber-Physical System in Smart City

Автор: Mohammed Atiquzzaman; Neil Yen; Zheng Xu
Название: Big Data Analytics for Cyber-Physical System in Smart City
ISBN: 9811525676 ISBN-13(EAN): 9789811525674
Издательство: Springer
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Цена: 69876.00 р.
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Описание: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28-29 December 2019.

Big Data Analytics for Cyber-Physical System in Smart City: Bdcps 2020, 28-29 December 2020, Shanghai, China

Автор: Atiquzzaman Mohammed, Yen Neil, Xu Zheng
Название: Big Data Analytics for Cyber-Physical System in Smart City: Bdcps 2020, 28-29 December 2020, Shanghai, China
ISBN: 981334573X ISBN-13(EAN): 9789813345737
Издательство: Springer
Цена: 46118.00 р.
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Описание: This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28-29 December 2020.

MAC Protocols for Cyber-Physical Systems

Автор: Feng Xia; Azizur Rahim
Название: MAC Protocols for Cyber-Physical Systems
ISBN: 3662463601 ISBN-13(EAN): 9783662463604
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book provides a literature review of various wireless MAC protocols and techniques for achieving real-time and reliable communications in the context of cyber-physical systems (CPS).


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