Immune-inspired adaptable error detection for automated teller machines

de Lemos, Rog ́ erio and Timmis, Jon and Ayara, Modupe and Forrest, Simon (2007) Immune-inspired adaptable error detection for automated teller machines. IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews, 37 (5). pp. 873-886. ISSN 1094-6977. (Access to this publication is restricted)

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http://dx.doi.org/10.1109/TSMCC.2007.900662

Abstract

This paper presents an immune-inspired adaptable error detection (AED) framework for automated teller machines (ATMs). This framework has two levels: one is local to a single ATM, while the other is network-wide. The framework employs vaccination and adaptability analogies of the immune system. For discriminating between normal and erroneous states, an immune-inspired one-class supervised algorithm was employed, which supports continual learning and adaptation. The effectiveness of the proposed approach was confirmed in terms of classification performance and impact on availability. The overall results are encouraging as the downtime of ATMs can de reduced by anticipating the occurrence of failures before they actually occur.

Item Type: Article
Uncontrolled keywords: adaptable error detection (AED); artificial immune systems (AIS); automated teller machines (ATMs); availability; fault tolerance
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 19:24
Last Modified: 09 Apr 2014 14:54
Resource URI: http://kar.kent.ac.uk/id/eprint/2028 (The current URI for this page, for reference purposes)
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