Master data

Title: Trusted Sensors for Participatory Sensing and IoT Applications based on Physically Unclonable Functions
Subtitle:
Abstract:

With the emergence of the internet of things (IoT) and participatory sensing (PS) paradigms trustworthiness of remotely sensed data has become a vital research question. In this work, we present the design of a trusted sensor, which uses physically unclonable functions (PUFs) as anchor to ensure integrity, authenticity and non-repudiation guarantees on the sensed data. We propose trusted sensors for mobile devices to address the problem of potential manipulation of mobile sensors' readings by exploiting vulnerabilities of mobile device OS in participatory sensing for IoT applications. Preliminary results from our implementation of trusted visual sensor node show that the proposed security solution can be realized without consuming significant amount of resources of the sensor node.

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 30.05.2016 (Online)
Published by: Proceedings of the 2nd ACM International Workshop on IoT Privacy, Trust, and Security
Proceedings of the 2nd ACM International Workshop on IoT Privacy, Trust, and Security
to publication
 ( ACM - New York; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 14 - 21

Versionen

Keine Version vorhanden
Publication date: 30.05.2016
ISBN (e-book):
  • 978-1-4503-4283-4
eISSN: -
DOI: http://dx.doi.org/10.1145/2899007.2899010
Homepage: http://dl.acm.org/citation.cfm?id=2899010&CFID=797158462&CFTOKEN=24054971
Open access
  • Available online (not open access)

Assignment

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

Categorisation

Subject areas
  • 1020 - Computer Sciences
  • 202015 - Electronics
  • 202017 - Embedded systems
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected

Articles of the publication

No related publications