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Device Identification Using Discrete Wavelet Transform

Yadav, Supriya, Khanna, Pooja, Howells, Gareth (2022) Device Identification Using Discrete Wavelet Transform. In: Proceedings 7th International Conference on Engineering and Emerging Technologies (ICEET 2021). . IEEE ISBN 978-1-66542-714-2. (doi:10.1109/ICEET53442.2021.9659553) (KAR id:90749)

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This paper investigates the effectiveness of employing measured hardware features mapped into the frequency domain for devices identification. The technique is to utilize Discrete Wavelet Transform (DWT) coefficients as distinguishing features. The DWT coefficients address the degree of relationship between the investigated features and the wavelet function at different occurrences of time. Therefore, DWT coefficients carry useful temporal information about the transient activity of the investigated wavelet features. We study the impacts of utilizing different wavelet functions (Coiflets, Haar and Symlets) on the performance of the device identification system. This system yields 92.5 % of accuracy using Sym6 wavelet. A comparison is made of the accuracy of wavelet features and raw features with standard classifiers.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICEET53442.2021.9659553
Uncontrolled keywords: Security, Device Authentication, Discrete Wavelet Transform, Multidimensional space
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Gareth Howells
Date Deposited: 08 Oct 2021 16:34 UTC
Last Modified: 09 Feb 2022 15:52 UTC
Resource URI: (The current URI for this page, for reference purposes)
Howells, Gareth:
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