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Revisiting Context-Based Pairing in IoT

Miettinen, Markus ; Nguyen, Thien Duc ; Asokan, N. ; Sadeghi, Ahmad-Reza (2018)
Revisiting Context-Based Pairing in IoT.
55th Design Automation Conference (DAC). San Francisco, CA, USA (24.-29.06. 2018)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The emergence of IoT poses new challenges towards solutions for authenticating numerous very heterogeneous IoT devices to their respective trust domains. Using passwords or pre-defined keys have drawbacks that limit their use in IoT scenarios. Recent works propose to use contextual information about ambient physical properties of devices' surroundings as a shared secret to mutually authenticate devices that are co-located, e.g., the same room. In this paper, we analyze these context-based authentication solutions with regard to their security and requirements on context quality. We quantify their achievable security based on empirical real-world data from context measurements in typical IoT environments.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Miettinen, Markus ; Nguyen, Thien Duc ; Asokan, N. ; Sadeghi, Ahmad-Reza
Art des Eintrags: Bibliographie
Titel: Revisiting Context-Based Pairing in IoT
Sprache: Englisch
Publikationsjahr: Juni 2018
Verlag: ACM
Buchtitel: Proceedings of the 55th Design Automation Conference (DAC)
Veranstaltungstitel: 55th Design Automation Conference (DAC)
Veranstaltungsort: San Francisco, CA, USA
Veranstaltungsdatum: 24.-29.06. 2018
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Kurzbeschreibung (Abstract):

The emergence of IoT poses new challenges towards solutions for authenticating numerous very heterogeneous IoT devices to their respective trust domains. Using passwords or pre-defined keys have drawbacks that limit their use in IoT scenarios. Recent works propose to use contextual information about ambient physical properties of devices' surroundings as a shared secret to mutually authenticate devices that are co-located, e.g., the same room. In this paper, we analyze these context-based authentication solutions with regard to their security and requirements on context quality. We quantify their achievable security based on empirical real-world data from context measurements in typical IoT environments.

Freie Schlagworte: ICRI-SC; Solutions; S2
ID-Nummer: TUD-CS-2018-0038
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[to appear]

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Systemsicherheit
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen
Hinterlegungsdatum: 27 Jul 2018 09:54
Letzte Änderung: 17 Apr 2019 14:22
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