9783030133696 - big data privacy preservation for cyber-physical systems di pan, miao (17 risultati)
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
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 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
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 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
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 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
Lingua: Inglese
Editore: Springer Verlag, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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- Altre immagini
Big Data Privacy Preservation for Cyber-Physical Systems
Miao Pan|Jingyi Wang|Sai Mounika Errapotu|Xinyue Zhang|Jiahao Ding|Zhu Han
Lingua: Inglese
Editore: Springer International Publishing, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Taschenbuch. Condizione: 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 throu…gh 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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Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: 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, juer…gen[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
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Condizione: new. Questo è un articolo print on demand.
Big Data Privacy Preservation for Cyber-Physical S
Pan, Miao; Wang, Jingyi; Errapotu, Sai Mounika; Zhang, Xinyue; Ding, Jiahao; Han, Zhu
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Lingua: Inglese
Editore: Springer International Publishing Apr 2019, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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 met…hodologies 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
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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- Print on Demand
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Condizione: 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
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 92.
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Lingua: Inglese
Editore: Springer, Springer Apr 2019, 2019
Serie: Libro 188 di 209 - SpringerBriefs in Electrical and Computer Engineering
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: 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 methodo…logies 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.
