Prof. Ljiljana Trajkovic, Simon Fraser University, Canada (IEEE Fellow)
Speech Title: Machine Learning for Detecting Internet Traffic
Anomalies
Abstract: Collection and analysis of data from
deployed networks is essential for understanding communication
networks. Hence, data mining and statistical analysis of network
data have been employed to determine traffic loads, analyze patterns
of users' behavior, predict future network traffic, and detect
traffic anomalies. The Internet has historically been prone to
failures and attacks that significantly degrade its performance,
affect the Internet connectivity, and cause routing disconnections.
Frequent cases of various cyber threats have been encountered over
the years and, hence, detection of anomalous behavior is a topic of
great interest in cybersecurity. In described case studies, traffic
traces collected by various collection sites are used to classify
network anomalies. Various anomaly and intrusion detection
approaches based on machine learning have been employed to analyze
collected data. Deep learning, broad learning, gradient boosted
decision trees, and reservoir computing algorithms were used to
develop models based on collected datasets that contain Internet
worms, viruses, power outages, ransomware events, router
misconfigurations, Internet Protocol hijacks, and infrastructure
failures in times of conflict. The reported results indicate that
while performance of machine learning models greatly depends on the
used datasets, they are viable tools for detecting the Internet
anomalies.
Biography: Ljiljana Trajkovic received the Dipl.
Ing. degree from University of Pristina, Yugoslavia, the M.Sc.
degrees in electrical engineering and computer engineering from
Syracuse University, Syracuse, NY, and the Ph.D. degree in
electrical engineering from University of California at Los Angeles.
She is currently a professor in the School of Engineering Science,
Simon Fraser University, Burnaby, British Columbia, Canada. Her
research interests include communication networks and dynamical
systems. Dr. Trajkovic served as IEEE Division X Delegate/Director,
President of the IEEE Systems, Man, and Cybernetics Society, and
President of the IEEE Circuits and Systems Society. She serves as
Editor-in-Chief of the IEEE Transactions on Human-Machine Systems.
She was a Distinguished Lecturer of the IEEE Circuits and System
Society and a Distinguished Lecturer of the IEEE Systems, Man, and
Cybernetics Society. She is a Fellow of the IEEE.