Visible to the public Trusted Sensors for Participatory Sensing and IoT Applications Based on Physically Unclonable Functions

TitleTrusted Sensors for Participatory Sensing and IoT Applications Based on Physically Unclonable Functions
Publication TypeConference Paper
Year of Publication2016
AuthorsHaider, Ihtesham, Höberl, Michael, Rinner, Bernhard
Conference NameProceedings of the 2Nd ACM International Workshop on IoT Privacy, Trust, and Security
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4283-4
KeywordsHuman Behavior, Internet of Things, mobile applications, participatory sensing, privacy, pubcrawl, PUF, Resiliency, Scalability, sensor security, Tamper resistance, Trust, trusted sensors
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.

URLhttp://doi.acm.org/10.1145/2899007.2899010
DOI10.1145/2899007.2899010
Citation Keyhaider_trusted_2016