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Investigation of Sample Sizes and Correlation in Multi-Cluster Feature Distributions for an Efficient Encryption System

Papoutsis, Evangelos and Howells, Gareth and Hopkins, Andrew and McDonald-Maier, Klaus (2008) Investigation of Sample Sizes and Correlation in Multi-Cluster Feature Distributions for an Efficient Encryption System. In: 2008 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 2008-06-22 - 2008-06-25.

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Abstract

This paper investigates some practical aspects of the employment of measurable features derived from characteristics of given integrated electronic circuits for the generation of encryption keys pertaining to the circuits, a technique termed ICmetrics. Specifically the paper addresses difficulties introduced by features exhibiting highly diverse distributions, potentially containing many distinct clusters associated with each of the given circuits. For such feature distributions, it is crucial to detect the precise number of clusters associated with each given circuit and the paper discusses the consequentially crucial importance of selecting the appropriate number of samples in order to correctly detect and identify the number of clusters. Moreover, the phenomenon of correlation in multi-cluster features is analyzed and methods of how to successively detect it are presented. © 2008 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2008
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 19 Sep 2013 09:14
Last Modified: 15 Jan 2022 00:38
URI: http://repository.essex.ac.uk/id/eprint/6891

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