2023-04-27T10:02:15Z

2023-04-27

Default License

Maximum likelihood estimation

QoS

masterThesis

2023-03-19

free

School of Science and Technology, MSc in Cybersecurity

This dissertation was written as a part of the MSc in Cybersecurity at the International Hellenic University. The field of network traffic analysis has attracted a lot of interest both for the improvement in Quality of Service(QoS) and to the detection of anomalies in network activity, possibly created by threat actors. There is extensive research of network flow using either statistical models or machine learning techniques. This thesis focuses on modeling network traffic using various stochastic processes with the goal of extracting quantities such as the rate parameter λ. The two main methods are the maximum likelihood estimation(MLE) and the EM algorithm.After applying these two methods, there is a discussion about which one was more effective in predicting the real λ values. The EM algorithm did not predict a single λ value but a matrix containing multiple λ. This was done with the assistance of a weight matrix A.The values showed a convergence as expected but were not as accurate as MLE. The results demonstrated that for the chosen data-set, the increase in the A dimensions gave a closer value to the real λ.

Chatzimisios, Periklis

ihu