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Immunising Automated Teller Machines

Ayara, Modupe and Timmis, Jon and de Lemos, Rogerio and Forrest, Simon (2005) Immunising Automated Teller Machines. In: Artificial Immune Systems 4th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 404-417. ISBN 978-3-540-28175-7. E-ISBN 978-3-540-31875-0. (doi:10.1007/11536444_31) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/11536444_31

Abstract

This paper presents an immune-inspired adaptable error detection (AED) framework for Automated Teller Machines (ATMs). This framework two levels, one level is local to a single ATM, while the other is a network-wide adaptable error detection. It employs ideas from 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 local AED was confirmed by its ability of detecting potential failures on an average 3 hours before the actual occurrence. This is an encouraging result in terms of availability, since measures can be devised for reducing the downtime of ATMs.

Item Type: Book section
DOI/Identification number: 10.1007/11536444_31
Uncontrolled keywords: Error Detection, Fatal State, Automate Teller Machine, Contiguous State, Continual Learning
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing
Depositing User: Rogerio de Lemos
Date Deposited: 17 Sep 2014 11:27 UTC
Last Modified: 29 May 2019 14:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42977 (The current URI for this page, for reference purposes)
de Lemos, Rogerio: https://orcid.org/0000-0002-0281-6308
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