A Self-Organising Map Based Algorithm for Analysis of ICmetrics Features
A Self-Organising Map Based Algorithm for Analysis of ICmetrics Features
ICmetrics is a new approach that exploits the characteristic and behaviour of an embedded system to obtain a collection of properties and features, which aims to uniquely identify and secure an embedded system based on its own behavioural identity. In this paper, an algorithm based on a self-organising map (SOM) neural network is proposed to extract and analyse the features derived from a processor's performance profile (i.e. average cycles per instruction (CPI)), where the extracted features are used to help finding the main behaviours of the system. The proposed algorithm has been tested with different programs selected from the MiBench benchmark suite, and the results achieved show that it can successfully segment each program into different main phases based on the unique extracted features, which confirms its utility for the ICmetrics technology.
ICmetrics, signal processing, feature extraction, embedded systems, self-organizing map (SOM)
Zhai, Xiaojun
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Appiah, Kofi
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Ehsan, Shoaib
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Cheung, Wah M.
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Hu, Huosheng
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Gu, Dongbing
ecd480a1-07cd-4083-b8f6-48c0cffcce9f
McDonald-Maier, Klaus
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Howells, Gareth
ad936021-6246-46d3-ad6a-1daac809b7f6
2013
Zhai, Xiaojun
93ee3dbb-e10e-472b-adec-78acfcd4cbc7
Appiah, Kofi
6ef3f47c-2bcd-4951-8d29-ad7c01261ff4
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
Cheung, Wah M.
61de920f-5730-4b44-9cf1-5400f00ef43d
Hu, Huosheng
031bebd3-b026-4c30-8426-4995bed830db
Gu, Dongbing
ecd480a1-07cd-4083-b8f6-48c0cffcce9f
McDonald-Maier, Klaus
4429a771-384b-4cc6-8d45-1813c3792939
Howells, Gareth
ad936021-6246-46d3-ad6a-1daac809b7f6
Zhai, Xiaojun, Appiah, Kofi, Ehsan, Shoaib, Cheung, Wah M., Hu, Huosheng, Gu, Dongbing, McDonald-Maier, Klaus and Howells, Gareth
(2013)
A Self-Organising Map Based Algorithm for Analysis of ICmetrics Features.
In Proceedings 2013 Fourth International Conference on Emerging Security Technologies.
IEEE..
(doi:10.1109/EST.2013.22).
Record type:
Conference or Workshop Item
(Paper)
Abstract
ICmetrics is a new approach that exploits the characteristic and behaviour of an embedded system to obtain a collection of properties and features, which aims to uniquely identify and secure an embedded system based on its own behavioural identity. In this paper, an algorithm based on a self-organising map (SOM) neural network is proposed to extract and analyse the features derived from a processor's performance profile (i.e. average cycles per instruction (CPI)), where the extracted features are used to help finding the main behaviours of the system. The proposed algorithm has been tested with different programs selected from the MiBench benchmark suite, and the results achieved show that it can successfully segment each program into different main phases based on the unique extracted features, which confirms its utility for the ICmetrics technology.
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More information
Published date: 2013
Venue - Dates:
Fourth international conference on emerging security technologies, , Cambridge, United Kingdom, 2013-09-09 - 2013-09-11
Keywords:
ICmetrics, signal processing, feature extraction, embedded systems, self-organizing map (SOM)
Identifiers
Local EPrints ID: 478881
URI: http://eprints.soton.ac.uk/id/eprint/478881
PURE UUID: c7760639-3bae-49b6-90e7-cae0127c721c
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Date deposited: 12 Jul 2023 16:36
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Xiaojun Zhai
Author:
Kofi Appiah
Author:
Shoaib Ehsan
Author:
Wah M. Cheung
Author:
Huosheng Hu
Author:
Dongbing Gu
Author:
Klaus McDonald-Maier
Author:
Gareth Howells
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