Stammdaten

Titel: Private Space Monitoring with SoC-based Smart Cameras
Beschreibung:

Cameras and other sensors are increasingly deployed for private space monitoring applications such as home monitoring, assisted/enhanced living and child monitoring. Since these cameras capture highly sensitive information and transfer it over public communication infrastructures, security and privacy is a major concern. This work presents a secure camera device along with a secure data delivery and archiving solution for private space monitoring applications using untrusted public cloud storage services. Integrity, authenticity, confidentiality and freshness of captured data are protected on-board using physically unclonable functions (PUF). The protection holds true for entire lifetime of the data until it is consumed by an authorized end-user.
Experimental results obtained from our Zynq7010 SoCbased prototype shows that the device is able to secure videos with 30 frames per second at 640480 resolution with marginal overhead.  
The presented solution is not limited to visual sensing but can be applied to a wide range of pervasive sensing and secure data delivery scenarios.

Schlagworte:
Typ: Angemeldeter Vortrag
Homepage: https://mass2017.engineering.osu.edu/
Veranstaltung: Mobile Ad Hoc and Sensor Systems (MASS 2017) (Orlando/FL)
Datum: 23.10.2017

Beteiligte

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020  Klagenfurt am Wörthersee
Österreich
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 202015 - Elektronik
  • 202017 - Embedded Systems
Forschungscluster
  • Selbstorganisierende Systeme
Vortragsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
TeilnehmerInnenkreis
  • Überwiegend international
Publiziert?
  • Ja
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