Stammdaten

Towards a Secure Key Generation and Storage Framework on Resource-Constrained Sensor Nodes
Untertitel:
Kurzfassung:

Sensors have an essential role in the currently emerging Internet of Things (IoT) whereby these resource constrained nodes sense the environment, process the sensed data and forward it to a central entity. As some of this data might be sensitive in nature, it is crucial to ensure certain security guarantees on the sensed data such as integrity, confidentiality, and authenticity. Certain cryptographic primitives offer these security properties based on the assumption that each node is capable of generating and storing its secret key securely. Existing solutions for secure key storage are based on secure non-volatile memory. Physically Unclonable Functions (PUFs) are lightweight hardware security primitives that bind a unique key to each device and provide resistance against key compromise attacks as the key exists in form of hardware manufacturing variations, which are difficult to read as compared to memory based alternative solutions. Therefore, in this work we present a PUF-based lightweight, secure key generation and storage framework for resource constrained sensor nodes. Our implementation of a ring oscillator (RO) PUF based key generation scheme shows that the PUF based key generation consumes only a small part of a typical visual sensor node’s resources.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks
EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks
zur Publikation
 ( Junction Publishing; )
Erscheinungdatum: 02.2016
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 313 - 318

Identifikatoren

ISBN:
  • 978-0-9949886-0-7
ISSN: -
DOI: -
AC-Nummer: -
Homepage: http://dl.acm.org/citation.cfm?id=2893789
Open Access
  • Online verfügbar (nicht Open Access)

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
  • 1020 - Informatik
  • 202015 - Elektronik
  • 202017 - Embedded Systems
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Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
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