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
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.