Abstract and paper submission deadlines have been extended. Check here the new dates.
Privacy engineering research has never been a more timely endeavor. Ongoing news reports regarding global surveillance programs, massive personal data breaches in corporate databases, and notorious examples of personal tragedies due to privacy violations have intensified societal demands for privacy-friendly systems. In response, current legislative and standardization processes worldwide are seeking to strengthen individuals’ privacy by introducing legal and organizational frameworks that personal data collectors and processors must follow. As a result, engineers are increasingly expected to build and maintain systems that preserve privacy and comply with data protection standards in different ICT domains (such as health, energy, transportation, social computing, law enforcement, and public services) and on different infrastructures and architectures (such as cloud, grid, or mobile computing).
Although there is a consensus on the benefits of an engineering approach to privacy, few concrete proposals exist for models, methodologies, techniques and tools to support engineers and organizations in this endeavor. Work that focuses on helping organizations and software developers to identify and adopt appropriate privacy engineering methods, techniques and tools in their daily practices is also missing. Furthermore, it is difficult to systematically evaluate whether the systems developed using privacy engineering methodologies comply with legal frameworks, provide necessary technical assurances, and fulfill users’ privacy requirements.
Clearly, more research is needed in developing methods that can help translate legal and normative concepts, as well as user expectations, into systems requirements. There is also a growing need for techniques and tools to support organizations and engineers in developing and maintaining (socio-)technical systems that meet these requirements. In an effort to close the gaps in research, the topics of IWPE'17 include all aspects of privacy engineering, ranging from its theoretical foundations, engineering approaches and support infrastructures to its practical application in projects of different scales.
Specifically, we are seeking the following kinds of papers:
1) technical solution papers that illustrate a novel formalism, method or other research finding with preliminary evaluation;
2) experience and practice papers that describe a case study, challenge or lessons learned in a specific domain;
3) early evaluations of tools and techniques that support engineering tasks in privacy requirements, design, implementation, testing, etc.;
4) interdisciplinary studies or critical reviews of existing privacy engineering concepts, methods and frameworks;
5) vision papers that take a clear position informed by evidence based on a thorough literature review.