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Anonymization Techniques for Preserving Data Quality in Participatory Sensing

Version 2 2024-06-06, 03:42
Version 1 2022-11-22, 23:09
conference contribution
posted on 2022-11-22, 23:09 authored by T Sabrina, M Murshed, A Iqbal
Participatory sensing is a revolutionary new paradigm where citizens voluntarily sense their surroundings using readily available sensing devices such as mobile phones and share this information for mutual benefit of community members. To encourage ample participation of users, ensuring their privacy is inevitable. Existing techniques that attempt to protect location privacy with spatial cloaking suffer from irrecoverable data quality degradation. To the best of our knowledge, very few works provided a solution preserving high data quality/utility at the destination server, however, suffered from unacceptable computational overhead. This paper presents an improved deterministic alternative and also a faster variant by exploiting several optimization issues. Theoretical formulations and extensive simulation results are presented to establish the applicability of our proposed techniques.

History

Pagination

607-610

Location

Dubai, U ARAB EMIRATES

Start date

2016-11-07

End date

2016-11-10

ISSN

0742-1303

ISBN-13

9781509020546

Language

English

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

Proceedings - Conference on Local Computer Networks, LCN

Event

41st IEEE Conference on Local Computer Networks (LCN)

Publisher

IEEE

Series

Conference on Local Computer Networks

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