a workshop in conjunction with the 16th IEEE International Conference on Mobile Data Management (MDM 2015), Pittsburgh , USA.

Welcome to PriSMO Workshop!

Call for Papers

Location data is generated and used in a multitude of applications that facilitate human activities. Location based data is created either explicitly, e.g., by users who share their location in location based social networks, or implicitly, e.g., by GPS trackers on vehicles and RFID tags on moving objects. Often, they can also be inferred by other location specific actions, like credit card charges in physical stores and usage of RFID cards in mass transit. The widespread availability of RFID chips and the developments in the wireless communications have resulted to a digitized environment where user and object movement very often leaves a digital trace.

Location and movement data is necessary for delivering many services to users, like routes to desired places, location based search, taxi calls etc. Moreover, it is essential to commercial activities as it facilitates transparency and accountability in goods transportation, it allows the dynamic routing of services and it enables the on-line monitoring of transportation fleets. Moreover, location and movement data is created by users who share their location and movement patterns in social networks.

Data about user and object movement is a very rich source of information with social, economic and environmental value, and it is nowadays available in such a scale, that it is considred a characteristic case of big data. Companies and research institutions want to be able to trace human and goods movement on a detailed level, in order to detect knowledge artifacts that provide an insight to information hidden in the data.

Detailed movement data does not only provide valuable information, but it often poses a threat to the privacy and security of users and companies, who are behind the digital location and trajectory data. Movement data can reveal the exact location of a user in real time to third parties, which is a violation of user privacy by per se. But it is not only the user location that is revealed by location traces; studying the movement patterns of a user can reveal sensitive information as the location of her home, where she works, religious preferences and even indicate health problems. To counter privacy and security risks, a series of technologies for protecting user privacy and security have been developed including data anonymization methods, protocols for securely posing location based queries and cryptographic methods for exchanging location information in location based social networks.

The purpose of PriSMO is to encourage principled research that will lead to novel methods and frameworks for protecting privacy and security on spatio-temporal data. Moreover, we expect that PriSMO will facilitate exploring the different trade-offs between protection level and cost, in terms of required computational resources and data quality.



Topics of interest to the workshop include, but are not limited to, the following:

  • Privacy-preserving analysis/mining of movement and location data
  • Privacy-preserving publishing of movement and location data
  • Anonymity in location-based services
  • Information hiding in geospatial data
  • Interdisciplinary approaches and studies for location data(e.g., law, economy, sociology, etc. )
  • Privacy policies in location based social networks
  • Secure and private protocols for exchanging location information
  • Systems for anonymous provision of location based services
  • Security and privacy metrics for location data and location based services
  • Utility and quality metrics for anonymized spatial data
  • Quality of service metrics for anonymous location-based services
  • Surveys of attacks against location based data, services and social networks
  • Experience papers from real-world privacy solutions for movement data
  • Presence-based access control
  • Privacy personalization based on context
  • Case studies/real world applications of context-aware privacy and security

Key Dates

February 10, 2015 : Due date for abstract submission (Optional!)
February 22, 2015 : Due date for paper submission (extended!)
March 1, 2015 : Notification of paper acceptance to authors
March 10, 2015 : Camera-ready deadline for accepted papers
June 15, 2015: Workshop date

Paper Submission

Publication of accepted workshop papers will be through IEEE Computer Society. The page limits for accepted regular workshop papers are *** 6 pages ***, including all figures, tables, and references. Papers must be in IEEE camera-ready format. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance, significance, originality and clarity. All articles will be reviewed by at least 3 referees.
Papers that have already been accepted or are currently under review for other workshops, conferences, or journals will not be considered for PriSMO 2015.

All papers for PriSMO must be submitted through the Workshop Submission Site.