de Lemos, R. and Timmis, J. and Ayara, M. and Forrest, S. (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.
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| Official URL http://dx.doi.org/10.1109/TSMCC.2007.900662 |
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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 |
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| 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: | 05 Sep 2011 23:25 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/2028 (The current URI for this page, for reference purposes) |
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