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There are several worm attacks in the recent years, this leads to an essentiality of producing new detection technique for worm attacks. In this paper, the authors present a spectrum based smart worm detection scheme, this is based on the idea of detection of worm in the frequency domain. This scheme uses the power spectral density of the scan traffic volume and its corresponding flatness measure to distinguish the smart worm traffic from background traffic. This scheme showed better results against the smart worms and also for the c-worm detection.
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