About this book series

The Springer series in Data Privacy aims to publish state-of-the-art research in the larger area of privacy and its major directions: data privacy, privacy-enhancing technologies, and privacy applications. It aims to cover a large body of research work including:

  • Fundamental privacy techniques that are independent of specific application areas, such as theoretical works on privacy models (e.g., k-anonymity based models, differential privacy based models, knowledge hiding models, etc.), models to capture and quantify disclosure risk and utility loss in data dissemination, privacy protocols for secure multiparty computation, design principles and considerations for incorporating privacy-enabling mechanisms to user interfaces, contextual privacy, statistical disclosure control techniques, data confidentiality issues, etc.
  • Privacy methods for specific application areas, such as methods for offering location privacy, anonymization techniques for user mobility and telecommunications data, privacy methods for social networks, graph anonymization approaches, medical data privacy, methods to forestall network privacy attacks, methods to facilitate privacy-aware microdata release, methods to offer privacy in data streams, graphical user interfaces helping users to define their privacy preferences, etc.
  • Latest trends and emerging privacy applications, such as privacy methods that are suitable for Big Data platforms and Cloud computing infrastructures, high performance privacy algorithms and cryptographic protocols, large scale privacy-aware data integration, CUDA/MapReduce and Spark implementations of privacy approaches, systems that respond to the constantly changing legal and regulatory environment, etc.
  • Legal privacy frameworks and emerging privacy laws, such as the US Health Insurance Portability and Accountability Act (HIPAA) and the EU General Data Protection Regulation (GDPR), mainly with respect to privacy-enhancing technologies and methods that can be used to meet the requirements of these legislative frameworks.
The series will include edited collections, monographs, handbooks, reference books, textbooks, Springerbriefs, and other relevant types of books in areas of science and technology where privacy plays an important role. High quality content is an essential feature for all book proposals accepted for the series.

For more information about the Series and to express interest in writing or editing a book, please contact the Series Editor at gkoulala@us.ibm.com 

Electronic ISSN
Print ISSN
Series Editor
  • Aris Gkoulalas Divanis