9783030133696 - big data privacy preservation for cyber-physical systems (springerbriefs in electrical and computer engineering) de pan, miao (17 resultados)
Big Data Privacy Preservation for Cyber-Physical S
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Big Data Privacy Preservation for Cyber-Physical Systems (SpringerBriefs in Electrical and Computer Engineering)
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Big Data Privacy Preservation for Cyber-Physical Systems (SpringerBriefs in Electrical and Computer Engineering)
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Big Data Privacy Preservation for Cyber-Physical Systems
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Big Data Privacy Preservation for Cyber-physical Systems
Pan, Miao/ Wang, Jinyi/ Errapotu, Sai Mounika Errapotu/ Zhang, Xinyue/ Ding, Jiajao
Idioma: Inglés
Editorial: Springer Verlag, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Paperback. Condición: Brand New. 73 pages. 9.00x6.00x0.25 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Big Data Privacy Preservation for Cyber-Physical Systems
Miao Pan|Jingyi Wang|Sai Mounika Errapotu|Xinyue Zhang|Jiahao Ding|Zhu Han
Idioma: Inglés
Editorial: Springer International Publishing, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Librería: moluna, Greven, Alemaniamoluna
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Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 throug…h 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.
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Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Taschenbuch. Condición: Neu. Big Data Privacy Preservation for Cyber-Physical Systems | Miao Pan (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | ix | Englisch | 2019 | Springer | EAN 9783030133696 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juerg…en[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Big Data Privacy Preservation for Cyber-Physical Systems (SpringerBriefs in Electrical and Computer Engineering)
Pan, Miao, Wang, Jingyi, Errapotu, Sai Mounika, Zhang, Xinyu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Apr 2019, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 meth…odologies 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. 84 pp. Englisch.
Big Data Privacy Preservation for Cyber-Physical Systems
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
- Tapa blanda
- Impresión bajo demanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 92.
Big Data Privacy Preservation for Cyber-Physical Systems
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
- Tapa blanda
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 76,00
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Condición: New. PRINT ON DEMAND pp. 92.
Idioma: Inglés
Editorial: Springer, Springer Apr 2019, 2019
Serie: Libro 188 de 209 - SpringerBriefs in Electrical and Computer Engineering
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 methodol…ogies 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 84 pp. Englisch.
