Explicitly Privacy-Aware Space Usage Analysis

Item Type Book Section
Abstract Surveillance in private and public spaces provides observers with information that can enhance protection and efficiency but usually infringes upon the privacy of the individuals and groups. These informational privacy risks are centered on users’ perceived and design-induced threats. They cannot be removed completely but can be minimized using suitable anonymization techniques. To minimize the users’ informational privacy threats, we designed a privacy-aware surveillance system that gives the users leverage over the anonymization filters, to physically adjust the opaqueness of the camera lens used in the prototype according to their privacy requirements. We implement our prototype in the context of office space surveillance, where the proposed solution considers privacy requirements in such environments to improve users’ trust in the surveillance system and reduce their privacy concerns.
Authors Jha, Sanjiv; Mayer, Simon & Schneider, Tanja
Language English
Subjects computer science
social sciences
Refereed Yes
Date 9 February 2021
Publisher IEEE
Place of Publication Guangzhou, China
Number of Pages 6
Title of Book Security and Privacy in Computing and Communications
Event Title 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Event Location Guangzhou, China
Event Dates 29 Dec.-1 Jan. 2021
ISSN 2324-898X
ISSN-Digital 2324-9013
ISBN 978-0-7381-4381-1
Publisher DOI https://doi.org/10.1109/TrustCom50675.2020.00172
Official URL https://ieeexplore.ieee.org/document/9343108
Contact Email Address sanjiv.jha@unisg.ch
Depositing User Sanjiv Jha
Date Deposited 05 Feb 2021 16:51
Last Modified 20 Jul 2022 17:44
URI: https://www.alexandria.unisg.ch/publications/262277


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Jha, Sanjiv; Mayer, Simon & Schneider, Tanja: Explicitly Privacy-Aware Space Usage Analysis. In Security and Privacy in Computing and Communications. Guangzhou, China : IEEE, 2021,


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