[PET] PriSMO 2015: Deadline February 22

Adam J. Lee adamlee at cs.pitt.edu
Fri Feb 13 17:44:17 GMT 2015

PriSMO: Privacy and Security for Moving Objects
A Workshop in Conjunction with IEEE MDM 2015

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 considered 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 

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 this workshop is to encourage principled research that 
will lead to the advancement of the science of privacy and security on 
spatio-temporal data and in the study of the relationship between data 
protection and context, where context can be any kind of information 
characterizing a situation in a mobile computing setting.

PriSMO is a workshop in conjunction with the 16th IEEE International 
Conference on Mobile Data Management (MDM 2015), Pittsburgh, USA
Topics of interest to the workshop include, but are not limited to, the 

– 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 
– 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 

Key Dates

- February 22, 2015: Due date for paper submission
- March 1, 2015: Notification of paper acceptance to authors
- March 10, 2013 March 23, 2013: Camera-ready deadline for accepted papers

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 2013.

All papers for PriSMO must be submitted through the Workshop Submission 
Site: https://cmt.research.microsoft.com/PRISMO2015/

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