Valuation of Trust in Open Networks
ESORICS '94 Proceedings of the Third European Symposium on Research in Computer Security
Developing Electronic Trust Policies Using a Risk Management Model
Proceedings of the International Exhibition and Congress on Secure Networking - CQRE (Secure) '99
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Why Trust is not Proportional to Risk
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Four billion little brothers?: privacy, mobile phones, and ubiquitous data collection
Communications of the ACM - Scratch Programming for All
Participatory sensing: applications and architecture
Proceedings of the 8th international conference on Mobile systems, applications, and services
A survey of mobile phone sensing
IEEE Communications Magazine
Dynamic Trust Model Based on Perceived Risk
ICEE '10 Proceedings of the 2010 International Conference on E-Business and E-Government
Extracting social and community intelligence from digital footprints: an emerging research area
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Point-based trust: define how much privacy is worth
ICICS'06 Proceedings of the 8th international conference on Information and Communications Security
iTrust'05 Proceedings of the Third international conference on Trust Management
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Recent advances in ubiquitous computing and availability of low cost sensors have led to the wide spread use of sensor networks in civilian applications. These networks along with multisensory personal devices generate lot of data in digital domain. Harnessing this data for urban sensing applications reduces the cost of implementation. This is possible when people share their data as a community service. However, people hesitate to participate because of trust deficit. Instilling trust among the participants will enhance people's participation and make a way for newer applications to share data among people. This paper describes a model for data sharing by computing confidence among networked peers. The social interactions in digital domain and reputation in community establish goodwill among peers. This goodwill and the trust on various control factors that influence a peer are used to evaluate its behaviour. However, trusting on peer's behaviour may involve risk otherwise there is an opportunity. More of opportunity than risk induces confidence on a peer. Finally, this confidence in peer decides whether to share data or not.