Abstract
We propose a new method to improve the effectiveness of security tests on industrial automation devices. Using a self-organizing neural network, we are able to build a Kohonen map that organizes operating systems according to similarities of their TCP/IP fingerprints. Our technique enables us to associate specific security tests to regions of the Kohonen map and to use this information to improve protection of automation devices.
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Medeiros, J.P.S., Cunha, A.C., Brito, A.M., Motta Pires, P.S. (2008). Application of Kohonen Maps to Improve Security Tests on Automation Devices. In: Lopez, J., Hämmerli, B.M. (eds) Critical Information Infrastructures Security. CRITIS 2007. Lecture Notes in Computer Science, vol 5141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89173-4_20
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DOI: https://doi.org/10.1007/978-3-540-89173-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89095-9
Online ISBN: 978-3-540-89173-4
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