Abstract
Classification of internet packets is a common task for internet routers. More rapid information transformation in communication links requires better processing and classifying algorithms. This paper presents a novel classification algorithm for internet packets profits parallel processing of neural networks. It is based on an extended able design of simple neural network blocks which are fast to learn and fast to respond. The classifier could be updated by re-learning simple neural networks, whenever a rule changes.
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Rouhani, M., Solaymanpour, M.J., Nematbakhsh, N. (2005). A Novel Design for Classifying Multi-Field Internet Packets Using Neural Networks. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_71
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DOI: https://doi.org/10.1007/3-540-31182-3_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22807-3
Online ISBN: 978-3-540-31182-9
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