Khanna, Pooja R and Howells, Gareth (2021) Using Dynamic Operational features to Identify Embedded Devices. In: 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021-08-28 - 2021-09-04.
Khanna, Pooja R and Howells, Gareth (2021) Using Dynamic Operational features to Identify Embedded Devices. In: 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021-08-28 - 2021-09-04.
Khanna, Pooja R and Howells, Gareth (2021) Using Dynamic Operational features to Identify Embedded Devices. In: 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021-08-28 - 2021-09-04.
Abstract
This paper investigates the use of system memory features as the characteristics of simpler embedded devices. The ICmetrics technology is based on the hardware and software features of the systems in order to generate the unique identifiers. Usually memory features are considered very volatile as they are considered very unstable usually. But, in this case the memory features are very crucial as they tell us more about the system function. Hence, these features were used for analysis and a multivariate gaussian model was created and validated by comparing testing sample against the training data with 98% accuracy amongst 6 devices. This confirms the usefulness of the system memory features in adding a layer of security to the devices.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Jan 2024 17:03 |
Last Modified: | 06 Sep 2024 12:41 |
URI: | http://repository.essex.ac.uk/id/eprint/37312 |
Available files
Filename: URSI2021 (1).pdf