A4 Article in conference proceedings
OSRM-CCTV : CCTV-Aware Routing and Navigation System for Privacy and Safety (2022)


Sintonen, L., Turtiainen, H., Costin, A., Hämäläinen, T., & Lahtinen, T. (2022). OSRM-CCTV : CCTV-Aware Routing and Navigation System for Privacy and Safety. In B. Shishkov (Ed.), Business Modeling and Software Design : 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27–29, 2022, Proceedings (pp. 279-288). Springer International Publishing. Lecture Notes in Business Information Processing, 453. https://doi.org/10.1007/978-3-031-11510-3_19


JYU authors or editors


Publication details

All authors or editors: Sintonen, Lauri; Turtiainen, Hannu; Costin, Andrei; Hämäläinen, Timo; Lahtinen, Tuomo

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:

  • International symposium on business modeling and software design

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: 279-288

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_19

Publication open access: Not open

Publication channel open access:

Web address of parallel published publication (pre-print): https://arxiv.org/abs/2108.09369


Abstract

For the last several decades, the increased, widespread, unwarranted, and unaccountable use of closed-circuit television cameras (CCTV) globally has raised concerns about privacy risks.

Recent CCTV camera features, such as Artificial Intelligence (AI)-based facial recognition, only increase concerns.

Therefore, CCTV-aware solutions must exist that provide privacy, safety, and cybersecurity features. We argue that a significant step forward in privacy is to provide privacy and safety options for areas where cameras are present in routing and navigation systems. However, no routing and navigation system, whether online or offline, provides corresponding CCTV-aware functionality.

In this paper, we introduce OSRM-CCTV – the first CCTV-aware routing system designed and built for privacy, anonymity, and safety applications. We demonstrate the effectiveness and usability of the system on a handful of examples. To help validate our work as well as further to encourage the development and broad adoption of the system, we release OSRM-CCTV as open-source.


Keywords: cameras; supervision; systems of supervision; closed-circuit television; television cameras; privacy; protection of privacy; anonymity; data protection; data security; safety and security; artificial intelligence; facial recognition (computer science); routing; locationing; navigation instruments; source codes; open source code

Free keywords: privacy-enhancing technologies; PET; anonymity; usable security and privacy; research on surveillance and censorship; privacy; anonymity; surveillance; safety; routing; navigation; mapping; OSM; OSRM; open-source


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2022

Preliminary JUFO rating: 1


Last updated on 2022-29-08 at 11:44