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Anomaly detection is one of the main issues in data analysis and used widely for detecting network threats. The article offers a more precise and simple multi-classifier model for anomaly detection in network traffic based on Big Data. Experiments have been performed on the NSL-KDD data set by using the Weka. The offered model has shown decent results in terms of anomaly detection accuracy.

Big Data analitika əsasında informasiya təhlükəsizliyi obyektində anomaliyaların aşkarlanması modeli