Abstract
Current techniques used to detect hacker intrusion are postmortem in that they get into action only if someone or something is intruding, in other words, they are reactionary. This paper proposes a PDE-based intrusion forecast model that aims to forecast hacker intrusion before they actually occur.
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© 2005 Springer-Verlag Berlin Heidelberg
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Zou, H., Zou, H. (2005). PDE-Based Intrusion Forecast. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_127
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DOI: https://doi.org/10.1007/11539902_127
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28320-1
Online ISBN: 978-3-540-31863-7
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