Description

With the continuous proliferation of diverse Internet-based computing paradigms, large amounts of data containing privacy-sensitive information are being constantly published, collected, processed, and archived. This trend will be further fueled up by the new development of IoT (Internet of Things) technologies, smart cities, e-health, e-commerce, social and behavioral studies, social networking, edge computing, and cloud computing. As a result, fast-growing concerns about data privacy from academia as well as industry emerge in recent years, which motivate researchers and practitioners to think about questions such as how to guarantee that the collected or published data are not misused; how to ensure that data processing does not disclose any sensitive information; how to store the data securely for privacy protection; how to define new privacy policies that allow desirable services; and how to make sure that privacy policies issued by government and industry are not violated.

The IEEE Symposium on Privacy-Aware Computing (IEEE PAC) brings together experts from academia, government, and industry to present and discuss recent advances and new perspectives on related research and development in privacy-aware computing. We invite original theoretical contributions as well as system implementation/experimentation works on all topics related to "making computing privacy-aware" for privacy protection. Particularly, IEEE PAC solicits unpublished results in privacy threats and vulnerabilities of emerging applications for various computing platforms (mobile, IoT, cloud, social network, etc.), privacy-aware algorithms for big data analytics and networking, novel methodologies for privacy-protection (modern cryptography, game theory, etc.), policies for privacy-aware computing, etc.

Call for paper

Important Dates

Draft paper submission deadline:2018-04-30

Draft paper acceptance notification:2018-06-30

Abstract submission deadline:2018-04-23

Final paper submission deadline:2018-07-20

Call for paper description

The explosive expansion of our information ecology, from online social networks to Internet of Things, from e-health to smart cities, makes everyday individuals producers of massive trails of data, sometimes voluntarily and other times unconsciously. These data contain a gold mine of knowledge for businesses and consumers alike, but also reveal rich personal information or sensitive knowledge of their individual contributors or organizational owners, causing significant privacy concerns.

Yet, we know very little about this complex “privacy ecosystem” around individuals, organizations, and data. To enable privacy-aware computing paradigms with responsible data practices, it is important to understand the roles, responsibilities and motivations of all parties involved in the ecosystem, study their collaborative or combative relationships, and identify the design frontiers of technological, social, legal, managerial, and organizational solutions.

The existing research on information privacy is arguably balkanized across several disciplines, from computer security/privacy to data science, from psychology to sociology, from computer-human interaction to management information systems. The 2018 IEEE Symposium on Privacy-Aware Computing (PAC) brings together experts across these communities to present and discuss recent advances and new perspectives on related research. As such, we invite research on both the technological development of privacy enhancements and the usage of quantitative/qualitative social scientific methodologies to study and validate theories about privacy. Topics of particular interest include, but are not limited to:

  • Differential privacy
  • Economics of privacy
  • Location privacy
  • Managerial practices and organizational policies on privacy
  • Privacy in smart and connected health
  • Privacy in smart cities
  • Privacy in the Internet of Things
  • Privacy on social media
  • Societal, legal, and ethical issues in privacy
  • Theoretical and empirical study of privacy concerns and behavior
  • Usability and adoption of privacy-enhancing technologies

To accommodate the different publishing practices of conferences in computer science and other disciplines, we afford the authors of each accepted paper the flexibility to choose, after the acceptance of the paper, whether to include the full paper, an extended abstract, or an abstract in the conference proceedings. The conference registration fee will be adjusted according to the publication preferences of the authors.

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Contact information

  • Xiuzhen Cheng
  • cheng@gwu.edu

Sponsored By

  • IEEE Computer Society