Mostafa Nassar1, Anas M. Ali1,2, Walid El-Shafai1,3, Adel Saleeb1, Fathi E. Abd El-Samie1, Naglaa F. Soliman4, Hussah Nasser AlEisa5,*, Hossam Eldin H. Ahmed1
Computer Systems Science and Engineering, Vol.45, No.2, pp. 2235-2247, 2023, DOI:10.32604/csse.2023.032156
Abstract Traditional security systems are exposed to many various attacks, which represents a major challenge for the spread of the Internet in the future. Innovative techniques have been suggested for detecting attacks using machine learning and deep learning. The significant advantage of deep learning is that it is highly efficient, but it needs a large training time with a lot of data. Therefore, in this paper, we present a new feature reduction strategy based on Distributed Cumulative Histograms (DCH) to distinguish between dataset features to locate the most effective features. Cumulative histograms assess the dataset instance patterns of the applied features… More >
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