Explicitly Privacy-Aware Space Usage Analysis
ISSN
2324-898X
ISSN-Digital
2324-9013
ISBN
978-0-7381-4381-1
Type
book section
Date Issued
2021-02-09
Author(s)
Abstract (De)
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.
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.
Language
English
Refereed
Yes
Book title
Security and Privacy in Computing and Communications
Publisher
IEEE
Publisher place
Guangzhou, China
Pages
6
Event Title
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Event Location
Guangzhou, China
Event Date
29 Dec.-1 Jan. 2021
Official URL
Subject(s)
Contact Email Address
sanjiv.jha@unisg.ch
Eprints ID
262277
File(s)![Thumbnail Image]()
open.access
Name
09343108.pdf
Size
4.82 MB
Format
Adobe PDF
Checksum (MD5)
458a681c5b09060390dbeb4f3f21e10b