Abstract:To address the low efficiency and high false alarm rate in detection of DDoS (Distributed Denial of Service) flood attacks,this paper proposes a DWT (Discrete Wavelet Transform) and AKD (Adaptive Knowledge Distillation) self-encoder neural network based approach to detect DDoS attacks.The approach uses the DWT to extract frequency features,the auto-encoder neural network to encode and classify the features,and the AKD to compress the model in order to achieve efficient detection of DDoS attacks.The results show that the approach has high detection efficiency for proxy server attacks,database vulnerabilities & TCP flood attacks,and UDP flood attacks,with low false alarm rate.

Abstract:To improve the bandwidth efficiency in multicarrier transition system,we propose a novel digital communation system based on discrete wavelet transform method.the scale parameters of wavelet base are discreted as reciprocals of integers,rather than integer of 2 in convetional system,thus yhe sub-carrier is not a set of quadraturecarriers,but divided with equal intervals in frequency axis and transmit a signal at each interval.The Matlab simulation results show that the proposed method is superior in bandwidth efficiency,though inferior in BER performance to OFDM system