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Immune-inspired adaptable error detection for automated teller machines

de Lemos, Rogério, Timmis, Jon, Ayara, Modupe, 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. (doi:10.1109/TSMCC.2007.900662) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:2028)

Language: English

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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
DOI/Identification number: 10.1109/TSMCC.2007.900662
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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 19:24 UTC
Last Modified: 16 Nov 2021 09:40 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

de Lemos, Rogério.

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Timmis, Jon.

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