Enabling Privacy Preserving Data Analytics - Couverture rigide
Livre 105 sur 109: Advances in Information Security
Synopsis
Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.
This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Anne Kayem is an Associate Professor in Cyber-Security and leads the Privacy AnaLytics (PAL) research Group at the University of Exeter. She holds a PhD in Computer Science obtained from Queen's University, Canada in 2009. She is an internationally recognised expert in the field of digital privacy focusing specifically on algorithms for data transformation to support privacy preserving machine learning and data analytics. She has written and edited several books about cyber-security and privacy notably on Access Control, Information Security, Secure micro-grids, and more recently on Digital Privacy. She is a senior member of the ACM and IEEE.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Enabling Privacy Preserving Data Analytics
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Springer-Nature New York Inc, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
Neuf
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 208 pages. 9.25x6.10x9.25 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3031939050
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Enabling Privacy Preserving Data Analytics
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Enabling Privacy Preserving Data Analytics (Hardcover)
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Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
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Hardcover. Etat : new. Hardcover. This book highlights the importance of digital privacy as an allied and supporting field to cybersecurity. The authors aim to underscore the fact that digital privacy is important sub-field of cybersecurity and must be differentiated from the social science and digital humanities view of privacy.This book discusses digital privacy from various viewpoints in relation to cyber-security. The authors begin with Chapter 1, by emphasizing the fact that digital privacy must be viewed and addressed as a collective (and not an individual) problem. Therefore, solutions designed must include several perspectives ranging from decision making algorithms that assess the cost-benefit ratio for all parties involved in the digital operation. In Chapters 2, 3, 4 and 5, the authors discuss the implications from the adversarial and benign perspectives, of transforming data to ensure privacy. The authors also discuss performance, and some solutions to help alleviate this especially in scenarios involving large data and/or low powered/processing systems. In Chapters 6 and 7, the authors discuss the benefits of supporting user decision making and preventing privacy breaches that arise from inadvertent disclosures of sensitive personal information. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. Policy makers in governments and organizations will also find this book to be a valuable resource. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031939051
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Enabling Privacy Preserving Data Analytics
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Springer, Berlin, Springer Nov 2025, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights the importance of digital privacy as an allied and supporting field to cybersecurity. The authors aim to underscore the fact that digital privacy is important sub-field of cybersecurity and must be differentiated from the social science and digital humanities view of privacy.This book discusses digital privacy from various viewpoints in relation to cyber-security. The authors begin with Chapter 1, by emphasizing the fact that digital privacy must be viewed and addressed as a collective (and not an individual) problem. Therefore, solutions designed must include several perspectives ranging from decision making algorithms that assess the cost-benefit ratio for all parties involved in the digital operation. In Chapters 2, 3, 4 and 5, the authors discuss the implications from the adversarial and benign perspectives, of transforming data to ensure privacy. The authors also discuss performance, and some solutions to help alleviate this especially in scenarios involving large data and/or low powered/processing systems. In Chapters 6 and 7, the authors discuss the benefits of supporting user decision making and preventing privacy breaches that arise from inadvertent disclosures of sensitive personal information. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. Policy makers in governments and organizations will also find this book to be a valuable resource. 194 pp. Englisch. N° de réf. du vendeur 9783031939051
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Enabling Privacy Preserving Data Analytics
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Enabling Privacy Preserving Data Analytics
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Springer, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
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Enabling Privacy Preserving Data Analytics
Edité par
Springer, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Enabling Privacy Preserving Data Analytics
Edité par
Springer, Palgrave Macmillan Okt 2025, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlights the importance of digital privacy as an allied and supporting field to cybersecurity. The authors aim to underscore the fact that digital privacy is important sub-field of cybersecurity and must be differentiated from the social science and digital humanities view of privacy.This book discusses digital privacy from various viewpoints in relation to cyber-security. The authors begin with Chapter 1, by emphasizing the fact that digital privacy must be viewed and addressed as a collective (and not an individual) problem. Therefore, solutions designed must include several perspectives ranging from decision making algorithms that assess the cost-benefit ratio for all parties involved in the digital operation. In Chapters 2, 3, 4 and 5, the authors discuss the implications from the adversarial and benign perspectives, of transforming data to ensure privacy. The authors also discuss performance, and some solutions to help alleviate this especially in scenarios involving large data and/or low powered/processing systems. In Chapters 6 and 7, the authors discuss the benefits of supporting user decision making and preventing privacy breaches that arise from inadvertent disclosures of sensitive personal information. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. Policy makers in governments and organizations will also find this book to be a valuable resource.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch. N° de réf. du vendeur 9783031939051
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Enabling Privacy Preserving Data Analytics
Edité par
Springer, Springer International Publishing, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights the importance of digital privacy as an allied and supporting field to cybersecurity. The authors aim to underscore the fact that digital privacy is important sub-field of cybersecurity and must be differentiated from the social science and digital humanities view of privacy.This book discusses digital privacy from various viewpoints in relation to cyber-security. The authors begin with Chapter 1, by emphasizing the fact that digital privacy must be viewed and addressed as a collective (and not an individual) problem. Therefore, solutions designed must include several perspectives ranging from decision making algorithms that assess the cost-benefit ratio for all parties involved in the digital operation. In Chapters 2, 3, 4 and 5, the authors discuss the implications from the adversarial and benign perspectives, of transforming data to ensure privacy. The authors also discuss performance, and some solutions to help alleviate this especially in scenarios involving large data and/or low powered/processing systems. In Chapters 6 and 7, the authors discuss the benefits of supporting user decision making and preventing privacy breaches that arise from inadvertent disclosures of sensitive personal information. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. Policy makers in governments and organizations will also find this book to be a valuable resource. N° de réf. du vendeur 9783031939051
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Enabling Privacy Preserving Data Analytics (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031939050
ISBN 13 : 9783031939051
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. This book highlights the importance of digital privacy as an allied and supporting field to cybersecurity. The authors aim to underscore the fact that digital privacy is important sub-field of cybersecurity and must be differentiated from the social science and digital humanities view of privacy.This book discusses digital privacy from various viewpoints in relation to cyber-security. The authors begin with Chapter 1, by emphasizing the fact that digital privacy must be viewed and addressed as a collective (and not an individual) problem. Therefore, solutions designed must include several perspectives ranging from decision making algorithms that assess the cost-benefit ratio for all parties involved in the digital operation. In Chapters 2, 3, 4 and 5, the authors discuss the implications from the adversarial and benign perspectives, of transforming data to ensure privacy. The authors also discuss performance, and some solutions to help alleviate this especially in scenarios involving large data and/or low powered/processing systems. In Chapters 6 and 7, the authors discuss the benefits of supporting user decision making and preventing privacy breaches that arise from inadvertent disclosures of sensitive personal information. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. Policy makers in governments and organizations will also find this book to be a valuable resource. Chapter 8 discusses possible avenues for future work centred around aspects, such as data transformation to support privacy preserving machine learning, privacy decision making and disclosure risks.This book targets researchers working in digital privacy and cybersecurity as well as advanced-level students studying this field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783031939051
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