Abstract:Based on the problem that supervised machine learning requires labeled samples and fails to identify unknown traffic, the author innovatively integrates wavelet transform and K-means algorithm of unsupervised machine learning by combining the advantage of wavelet transform in solving multi-fractal network traffic and proposes a traffic identification method based on wavelet spectrum of scatter factor and improved K-means. This method represents each stream sequence with wavelet spectrum of scatter factor, whic… Show more
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