Distinguished Lecture Coverage: Data Mining and Machine Learning for Analysis of Network Traffic
On Monday, April 26, 2021, a Distinguished Lecture was held, featuring Ljiljana Trajkovic from Simon Fraser University, Canada. Acting as moderator is Dr. Tutun Juhana, ST. MT., who is also the Dean of STEI ITB.
The collection and analysis of data from used networks are essential to understanding modern communication networks. Data mining and statistical analysis of network data are often used to determine traffic load, analyze user behavior patterns, and predict future network traffic, while various machine learning techniques have proven useful for predicting abnormal traffic behavior. In the described case study, traffic traces collected from various applied networks and the Internet are used to characterize and model network traffic, analyze Internet topology and classify network anomalies.
Ljiljana Trajkovic received the Dipl title. Ing. degree from the University of Pristina, Yugoslavia, in 1974, M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, in 1979 and 1981, respectively, and a Ph.D. degree in electrical engineering from the University of California at Los Angeles, in 1986.
He is currently a Professor in the School of Engineering Science at Simon Fraser University, Burnaby, British Columbia, Canada. From 1995 to 1997, he was Visiting Professor of the National Science Foundation (NSF) in the Department of Electrical Engineering and Computer Science, University of California, Berkeley. He was a Research Scientist at Bell Communications Research, Morristown, NJ, from 1990 to 1997, and a Technical Staff Member at AT&T Bell Laboratories, Murray Hill, NJ, from 1988 to 1990. His research interests include high-performance communications networks, systems control communications, computer-aided circuit analysis and design, and the theory of nonlinear circuits and dynamic systems.
The discussion topics of the event can be seen in the following slideshow:
