TY - GEN
T1 - Preserve your privacy with PCO
T2 - 2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010
AU - Rahman, Farzana
AU - Hoque, Md Endadul
AU - Kawsar, Ferdaus Ahmed
AU - Ahamed, Sheikh Iqbal
PY - 2010
Y1 - 2010
N2 - Context awareness is just beginning to revolutionize the ways we interact with networked devices. In order for context awareness to flourish, especially in a pervasive environment, users must be certain that their privacy is respected. Privacy in pervasive online community depends on the level of granularity of the provided information, user's relation to possible recipients, and the possible usage of user's data. Conventional privacy preservation techniques are not suitable for these pervasive applications. The notion of this paper is to present the preliminary results of using a unique architecture of obfuscation techniques to preserve users' privacy in e-community based applications. This paper describes our current work in developing a novel Privacy-sensitive architecture for Context Obfuscation (PCO) for privacy preservation in pervasive online community based applications. More specifically, PCO safeguards a user's privacy by generalizing the contextual data (e.g. the user's current activity) provided to the applications and distributed to the user's peers. To support multiple levels of granularity for the released contextual data, the obfuscation procedure uses an ontological description that states the granularity of object type instances. We have developed and evaluated a contextual instant messaging application (PCO application) in Android platform that incorporates level-based privacy of the user's contextual information. We also evaluate our prototype application through user evaluation survey.
AB - Context awareness is just beginning to revolutionize the ways we interact with networked devices. In order for context awareness to flourish, especially in a pervasive environment, users must be certain that their privacy is respected. Privacy in pervasive online community depends on the level of granularity of the provided information, user's relation to possible recipients, and the possible usage of user's data. Conventional privacy preservation techniques are not suitable for these pervasive applications. The notion of this paper is to present the preliminary results of using a unique architecture of obfuscation techniques to preserve users' privacy in e-community based applications. This paper describes our current work in developing a novel Privacy-sensitive architecture for Context Obfuscation (PCO) for privacy preservation in pervasive online community based applications. More specifically, PCO safeguards a user's privacy by generalizing the contextual data (e.g. the user's current activity) provided to the applications and distributed to the user's peers. To support multiple levels of granularity for the released contextual data, the obfuscation procedure uses an ontological description that states the granularity of object type instances. We have developed and evaluated a contextual instant messaging application (PCO application) in Android platform that incorporates level-based privacy of the user's contextual information. We also evaluate our prototype application through user evaluation survey.
KW - Context
KW - E-community
KW - Granularity
KW - Privacy
UR - http://www.scopus.com/inward/record.url?scp=78649255885&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649255885&partnerID=8YFLogxK
U2 - 10.1109/SocialCom.2010.16
DO - 10.1109/SocialCom.2010.16
M3 - Conference contribution
AN - SCOPUS:78649255885
SN - 9780769542119
T3 - Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust
SP - 41
EP - 48
BT - Proceedings - SocialCom 2010
Y2 - 20 August 2010 through 22 August 2010
ER -