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A self-organising map based algorithm for analysis of ICmetrics features

Zhai, X and Appiah, K and Ehsan, S and Cheung, WM and Hu, H and Gu, D and McDonald-Maier, K and Howells, G (2013) A self-organising map based algorithm for analysis of ICmetrics features. In: UNSPECIFIED, ? - ?.

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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. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings - 2013 4th International Conference on Emerging Security Technologies, EST 2013
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 04 Sep 2015 15:48
Last Modified: 22 Jan 2019 22:15
URI: http://repository.essex.ac.uk/id/eprint/14764

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