Design and Analysis of System to Detect Anomaly from Network Traffic to Improve the Security and Improve Performance

As network infrastructure maintenance becomes more complex, network traffic monitoring becomes an increasingly vital part of the process. Many specialized solutions for online network traffic monitoring are available to fight against common (and well-known) assaults by quickly limiting portions of the traffic. It is possible, however, that there are unknown hazards in network traffic with slow-in-time changing characteristics. On-line tools are unlikely to pick up on non-rapidly changing variable values. Using data mining, it is still possible to discover these shifts. An approach for anomaly identification in network traffic monitoring, the Red-Blue State Merging Algorithm and the RTI Algorithm with process, are discussed in the study. The results of this study are based on genuine data from github, which is used in the paper.