Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4563
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dc.contributor.authorChaudhari, Narendra S.en_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:34:50Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:34:50Z-
dc.date.issued2021-
dc.identifier.citationKulkarni, N., Tanwani, S., & Chaudhari, N. S. (2021). Modelling trust to preserve end-user privacy in location based services. Paper presented at the Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021, 651-658. doi:10.1109/ICIRCA51532.2021.9544510en_US
dc.identifier.issn9780-738146270-
dc.identifier.otherEID(2-s2.0-85116858580)-
dc.identifier.urihttps://doi.org/10.1109/ICIRCA51532.2021.9544510-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4563-
dc.description.abstractLocation Based Services (LBS) user is concerned about unauthorized access to the personal information that has been revealed during service consumption. Observations tell us that user concern about privacy is due to uncertainty (a trust-gap) as a result of tradeoff between benefits derived from LBS vs. partial compromise over privacy. Privacy preserving in LBS is a socio-technical challenge that is mostly addressed from technology viewpoint without ample consideration of end-user perspective (for whom it is actually intended). This paper formalizes a notion about end-user perceptions that the privacy preserving LBS should address. According to research individuals, (actual) disclosure behaviour is significantly impacted by trust perceptions. Hence, this paper formulates a research model that identifies the dimensions of end-user trust in LBS. Proposed model will work twofold - (1) providing a tenable ground for design and development of more robust user-centric LBS privacy preserving mechanisms and, (2) furnishing guidelines for LBS providers wanting to preserve end-user privacy; by gaining natural trust in relationship to reduce concerns. © 2021 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceProceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021en_US
dc.subjectData privacyen_US
dc.subjectEncoding (symbols)en_US
dc.subjectLocationen_US
dc.subjectTelecommunication servicesen_US
dc.subjectInformation privacyen_US
dc.subjectLocation-based servicesen_US
dc.subjectPrivacyen_US
dc.subjectPrivacy concernsen_US
dc.subjectPrivacy in location based serviceen_US
dc.subjectPrivacy preservingen_US
dc.subjectPrivacy preserving mechanismen_US
dc.subjectPrivacy protectionen_US
dc.subjectTrusten_US
dc.subjectTrust based privacy preservingen_US
dc.subjectUser privacyen_US
dc.subjectUser privacy in location based serviceen_US
dc.subjectLocation based servicesen_US
dc.titleModelling Trust to Preserve End-User Privacy in Location Based Servicesen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Computer Science and Engineering

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