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Network anomaly detection is a classically difficult research topic in intrusion detection. However, existing research has been solely focused on the detection algorithm. An important issue that has not been well studied so far is the selection of normal training data for network anomaly detection algorithm, which is highly related to the detection performance and computational complexity. Based on...
In this paper, a parallel access scheme for dual-butterfly constant geometry radix-2 Fast Fourier Transform (FFT) algorithm is proposed. According to the constant geometry, the proposed method in this paper utilizes the Least Significant Bit (LSB) and the Most Significant Bit (MSB) of the data counter to decrease the computational complexity of the address generation for reads and writes. It allows...
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