SOFTWARE FOR RESEARCH QUALITY ALGORITHMS TO DETECT NETWORK ANOMALIES
The article describes the approach to the assessment of the accuracy of anomaly detection algorithms occurring in information systems and technology networks. We identified the cause of network anomalies and algorithms that allow them to identify. We have developed software system architecture and the algorithms of the client and server. We investigated algorithms: the algorithm based on discrete wavelet transform using statistical criteria and anomaly detection algorithm Brodsky-Darhovsky. As a result of experiments and quality assessment algorithm was found having the best value of F-measure and sensitivity.