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Using Dynamic Operational features to Identify Embedded Devices

Khanna, Pooja, Howells, G. (2021) Using Dynamic Operational features to Identify Embedded Devices. In: XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science. 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). . IEEE (doi:10.23919/URSIGASS51995.2021.9560513) (KAR id:88489)

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http://dx.doi.org/10.23919/URSIGASS51995.2021.9560...

Abstract

This paper investigates the use of system memory featuresas the characteristics of simpler embedded devices. TheICmetrics technology is based on the hardware andsoftware features of the systems in order to generate theunique identifiers. Usually memory features are consideredvery volatile as they are considered very unstable usually.But, in this case the memory features are very crucial asthey tell us more about the system function. Hence, thesefeatures were used for analysis and a multivariate gaussianmodel was created and validated by comparing testingsample against the training data with 98% accuracyamongst 6 devices. This confirms the usefulness of thesystem memory features in adding a layer of security to thedevices.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.23919/URSIGASS51995.2021.9560513
Uncontrolled keywords: Device identification, pattern recognition, cyber security
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Gareth Howells
Date Deposited: 01 Jun 2021 16:29 UTC
Last Modified: 10 Feb 2022 13:34 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/88489 (The current URI for this page, for reference purposes)
Howells, G.: https://orcid.org/0000-0001-5590-0880
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