This method uses a Heuristics Clustering Algorithm (HCA) to cluster the available data and Naïve Bayes (NB) classification to classify the data and detect the attacks created in the system based on some network attributes of the data packet. The main objective of this paper is to propose a system that effectively detects DDoS attacks appearing in any networked system using the clustering technique of data mining followed by classification. In recent times among the multitude of attacks present in network system, DDoS attacks have emerged to be the attacks with the most devastating effects.
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