Titlebook: Operations Research and Optimization; FOTA 2016, Kolkata, Samarjit Kar,Ujjwal Maulik,Xiang Li Conference proceedings 2018 Springer Nature

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ICMP-DDoS Attack Detection Using Clustering-Based Neural Network Techniqueshe entity of probable irregularity in the traffic patterns. In this paper, we used SOM to divide the dataset into clusters, as analysis of clusters is easier than the whole dataset. We select the features such as mean inter-arrival time and mean probability of occurrence of the IP addresses that hav

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als can enhance the detection of alertness and mental fatigue. This study determines the suitability of some computational intelligence, namely, artificial neural network (ANN), fuzzy logic system, and a Sugeno adaptive neuro-fuzzy inference system (ANFIS), in detecting mental alertness and fatigue

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