Chin-Yuan Chang

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—With the rapid development of network hardware technologies and network bandwidth, the high link speeds and huge amount of threats poses challenges to network intrusion detection systems, which must handle the higher network traffic and perform more complicated packet processing. In general, pattern matching is a highly computationally intensive process(More)
This paper presents a neural solution for clustering without pre-specifying the number of clusters. The presented clustering approach incorporates a harmonic neural network (HNN) and a codeword-agglomerating neural network (ANN). The HNN harmonizes criteria of mean squared error and information entropy to exploit the substructure in the input data and find(More)
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