A4 Article in conference proceedings
CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras (2022)

Turtiainen, H., Costin, A., & Hämäläinen, T. (2022). CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras. In B. Shishkov (Ed.), Business Modeling and Software Design : 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27–29, 2022, Proceedings (pp. 289-298). Springer International Publishing. Lecture Notes in Business Information Processing, 453. https://doi.org/10.1007/978-3-031-11510-3_20

JYU authors or editors

Publication details

All authors or editors: Turtiainen, Hannu; Costin, Andrei; Hämäläinen, Timo

Parent publication: Business Modeling and Software Design : 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27–29, 2022, Proceedings

Parent publication editors: Shishkov, Boris

Conference:

Place and date of conference: Fribourg, Switzerland, 27.-29.6.2022

ISBN: 978-3-031-11509-7

eISBN: 978-3-031-11510-3

Journal or series: Lecture Notes in Business Information Processing

ISSN: 1865-1348

eISSN: 1865-1356

Publication year: 2022

Number in series: 453

Pages range: 289-298

Number of pages in the book: 309

Publisher: Springer International Publishing

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-031-11510-3_20

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/85326

Abstract

In this work, we present CCTV-Exposure – the first CCTV-aware solution to evaluate potential privacy exposure to closed-circuit television (CCTV) cameras. The objective was to develop a toolset for quantifying human exposure to CCTV cameras from a privacy perspective. Our novel approach is trajectory analysis of the individuals, coupled with a database of geo-location mapped CCTV cameras annotated with minimal yet sufficient meta-information. For this purpose, CCTV-Exposure model based on a Global Positioning System (GPS) tracking was applied to estimate individual privacy exposure in different scenarios. The current investigation provides an application example and validation of the modeling approach. The methodology and toolset developed and implemented in this work provide time-sequence and location-sequence of the exposure events, thus making possible association of the exposure with the individual activities and cameras, and delivers main statistics on individual’s exposure to CCTV cameras with high spatio-temporal resolution.

Keywords: cameras; supervision; closed-circuit television; systems of supervision; television cameras; tracking; locationing; geographic information; satellite navigation; privacy; protection of privacy; data protection

Free keywords: privacy; privacy measurements; privacy-enhancing technologies; PET; video surveillance; CCTV surveillance; CCTV exposure; experimentation; open-source; GPS location track; GPX

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1