Visual Privacy Management

Mattia Salnitri

ISBN 10: 3030599434 / ISBN 13: 9783030599430

Published by Springer International Publishing Okt 2020, 2020

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -_Privacy is a burden for most organizations, the more complex and wider an organization is, the harder to manage and enforce privacy is.GDPR and other regulations on privacy impose strict constraints that must be coherently enforced, considering also privacy needs of organization and their users. Furthermore, organizations should allow their users to express their privacy needs easily, even when the process that manages users' data is complex and involves multiple organizations.Many research work consider the problem using simplistic examples, with solutions proposed that never actually touch pragmatic problems of real, large organizations, with thousands of users and terabytes of personal and sensitive data.This book faces the privacy management problem targeting actual large organizations, such as public administrations, including stakeholders in the process of definition of the solution and evaluating the results with its actual integration in four large organizations. The contribution of this book is twofold: a privacy platform that can be customized and used to manage privacy in large organizations; and the process for the design of such a platform, from a state-of-the-art survey on privacy regulations, through the definition of its requirements, its design and its architecture, until the evaluation of the platform. 168 pp. Englisch.

Seller Inventory # 9783030599430

Bibliographic Details

• Title: Visual Privacy Management
• Publisher: Springer International Publishing Okt 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 3030599434
• ISBN 13: 9783030599430
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 10D millimeters 235 millimeters width by 155 millimeters height by 10 millimeters depth
• Weight: 265 grams

About this title

Synopsis

​Privacy is a burden for most organizations, the more complex and wider an organization is, the harder to manage and enforce privacy is.

GDPR and other regulations on privacy impose strict constraints that must be coherently enforced, considering also privacy needs of organization and their users. Furthermore, organizations should allow their users to express their privacy needs easily, even when the process that manages users' data is complex and involves multiple organizations.

Many research work consider the problem using simplistic examples, with solutions proposed that never actually touch pragmatic problems of real, large organizations, with thousands of users and terabytes of personal and sensitive data.

This book faces the privacy management problem targeting actual large organizations, such as public administrations, including stakeholders in the process of definition of the solution and evaluating the results with its actual integration in four large organizations. The contribution of this book is twofold: a privacy platform that can be customized and used to manage privacy in large organizations; and the process for the design of such a platform, from a state-of-the-art survey on privacy regulations, through the definition of its requirements, its design and its architecture, until the evaluation of the platform.

About the Author

The empirical experiments reported in this book show that VPP is an effective platform. During its design, editors faced many challenges, the results and the methods we used to face them are reported in this book.

Many people have contributed to the results of the project in many ways and their contribution has been essential in making VisiOn a successful project. The editors would like to thank for the hard work of all the participants of the projects. In particular, the editors would like to thank the EU project officers who supported the project during lifetime, the reviewers who provided valuable feedback at the project reviews.