Privacy in geo-social context aware systems

Start: Tuesday, November 25, 2008, 10:30AM

End: Tuesday, November 25, 2008, 12:00PM

Location: ITE 325

Abstract: With the extensive use of the location sensing technologies in mobile devices, location based applications and services are predicted to be popular. Further, it raises privacy concerns when several user context data alongwith location and time is shared. There is implicit tradeoff between effective usage of Location Based Service that users wish to receive and the location privacy they can afford to risk. Moreover, different users may have varying privacy needs in different contexts. Therefore, it is important to develop customizable or personalized privacy protection mechanisms.

A personalized anonymization model needs to provide user-defined privacy rules to meet user's personal privacy preferences. The location obfuscation techniques that are based on the use of geometric methods also needs to consider location semantics to prevent privacy leaks.Such a obfuscation model needs to be extensible towards a probabilistic model to account varying sensitivity. We introduce a combined approach to achieve more comprehensive solution for privacy preservation in such systems.

Web Site: http://ebiquity.umbc.edu/event/html/id/277/

Assertions:

(Event) Privacy in geo-social context aware systems has (Resource) Privacy in Geo-Social Context aware systems. (Presentation slides)


	UMBC eBiquity Events / Talks Privacy in geo-social context aware systems OWL metadata Update record		Privacy in geo-social context aware systems Tweet Speaker: Audumbar Chormale Start: Tuesday, November 25, 2008, 10:30AM End: Tuesday, November 25, 2008, 12:00PM Location: ITE 325 Abstract: With the extensive use of the location sensing technologies in mobile devices, location based applications and services are predicted to be popular. Further, it raises privacy concerns when several user context data alongwith location and time is shared. There is implicit tradeoff between effective usage of Location Based Service that users wish to receive and the location privacy they can afford to risk. Moreover, different users may have varying privacy needs in different contexts. Therefore, it is important to develop customizable or personalized privacy protection mechanisms. A personalized anonymization model needs to provide user-defined privacy rules to meet user's personal privacy preferences. The location obfuscation techniques that are based on the use of geometric methods also needs to consider location semantics to prevent privacy leaks.Such a obfuscation model needs to be extensible towards a probabilistic model to account varying sensitivity. We introduce a combined approach to achieve more comprehensive solution for privacy preservation in such systems. Web Site: http://ebiquity.umbc.edu/event/html/id/277/ Assertions: (Event) Privacy in geo-social context aware systems has (Resource) Privacy in Geo-Social Context aware systems. (Presentation slides) ,