Behavioural sensor data as randomness source for IoT devices

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

10 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publication2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
PublisherIEEE
Pages2038-2043
ISBN (Electronic)9781509014125
Publication statusPublished - Aug 2017

Publication series

NameIEEE International Symposium on Industrial Electronics (ISIE)
PublisherIEEE
ISSN (Electronic)2163-5145

Conference

Title26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
LocationEdinburgh International Conference Centre (EICC)
PlaceUnited Kingdom
CityEdinburgh
Period19 - 21 June 2017

Abstract

Random numbers generators are very important for cryptography and using biometrics as a source for randomness is on ascending trend. Because of the multitude of IoT devices present in our daily lives the need for keys and sources of randomness increased. This paper assesses the feasibility of using IoT devices to gather data on human behaviour for creating randomness. This paper analyses the suitability of using bio- metric data collected from 6 smartphone sensors: accelerometer, gravity, gyroscope, linear acceleration, magnetometer, rotation, and sound. The sensor data is run through all three well-known batteries of tests: NIST, ENT and Dieharder. We demonstrate that human gait is highly predictable and shouldn’t be used as a source of randomness. We also show that contrary to popular believe using data from two sensors slightly improves randomness, but it still doesn’t pass all tests.

Citation Format(s)

Behavioural sensor data as randomness source for IoT devices. / Dinca, Lavinia Mihaela; Hancke, Gerhard.
2017 IEEE 26th International Symposium on Industrial Electronics (ISIE). IEEE, 2017. p. 2038-2043 8001568 (IEEE International Symposium on Industrial Electronics (ISIE)).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review