Yanhua Liu1,2,3, Yuting Han1,2,3, Hui Chen1,2,3, Baokang Zhao4,*, Xiaofeng Wang4, Ximeng Liu1,2,3
CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 1851-1866, 2024, DOI:10.32604/cmc.2024.051194
Abstract As the scale of the networks continually expands, the detection of distributed denial of service (DDoS) attacks has become increasingly vital. We propose an intelligent detection model named IGED by using improved generalized entropy and deep neural network (DNN). The initial detection is based on improved generalized entropy to filter out as much normal traffic as possible, thereby reducing data volume. Then the fine detection is based on DNN to perform precise DDoS detection on the filtered suspicious traffic, enhancing the neural network’s generalization capabilities. Experimental results show that the proposed method can efficiently distinguish More >
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