Visual Privacy Management: Design and Applications of a Privacy-Enabling Platform

Mattia Salnitri (Curatore)

Jan Jürjens (Curatore)

Springer Nature Switzerland AG, 2020

?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.

• Curatore: Mattia Salnitri, Jan Jürjens
• Editore: Springer Nature Switzerland AG
• Collana: Lecture Notes in Computer Science
• Anno: 2020
• Rilegatura: Paperback / softback
• Pagine: 149 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030599430

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