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What is Privacy by Design

Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
The concept whereby privacy compliance is designed into systems.
Published in Chapter:
Privacy Compliance Requirements in Workflow Environments
Maria N. Koukovini (National Technical University of Athens, Greece), Eugenia I. Papagiannakopoulou (National Technical University of Athens, Greece), Georgios V. Lioudakis (National Technical University of Athens, Greece), Nikolaos L. Dellas (SingularLogic S.A., Greece), Dimitra I. Kaklamani (National Technical University of Athens, Greece), and Iakovos S. Venieris (National Technical University of Athens, Greece)
DOI: 10.4018/978-1-4666-6324-4.ch011
Abstract
Workflow management systems are used to run day-to-day applications in numerous domains, often including exchange and processing of sensitive data. Their native “leakage-proneness,” being the consequence of their distributed and collaborative nature, calls for sophisticated mechanisms able to guarantee proper enforcement of the necessary privacy protection measures. Motivated by the principles of Privacy by Design and its potential for workflow environments, this chapter investigates the associated issues, challenges, and requirements. With the legal and regulatory provisions regarding privacy in information systems as a baseline, the chapter elaborates on the challenges and derived requirements in the context of workflow environments, taking into account the particular needs and implications of the latter. Further, it highlights important aspects that need to be considered regarding, on the one hand, the incorporation of privacy-enhancing features in the workflow models themselves and, on the other, the evaluation of the latter against privacy provisions.
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More Results
Adoption of GDPR for Personal Data Protection in Smart Cities
A framework for preventing privacy harms by embedding the necessary privacy protective measures both at the time of the determination of the means for processing and at the time of the processing itself.
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Digital Identity and Data Sovereignty: Redefining Global Information Flows
Privacy by design is a framework that integrates privacy considerations into the design and architecture of systems, emphasizing proactive privacy protection.
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A Survey of Methodologies for Protecting Privacy of User Data Within Enterprise Information Infrastructure
An approach where privacy should be taken into account throughout the entire engineering process.
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Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry
A concept that puts privacy at the center of the system design process. At each step of the process, privacy-preserving techniques are introduced to support for data protection.
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