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
- 2662-2173
- Print ISSN
- 2662-2165
- Series Editor
-
- Aris Gkoulalas Divanis