Research Issues

"Study on Visual Analytics Tools for Network Data" (Okada Group)

We study on Visual Analytics Tools for Network Data to detect illegal accesses by interactively analyzing IP packets data.

"Network Traffic Analysis for Cyber Attack Detection" (Sakurai Group)

We develop detecting systems for collaborative behavior with multi sources, bots by distributions of data transmission intervals.

"Anomary Detection with Graph Pattern Mining" (Shoudai Group)

We develop an effective and efficient graph mining system, which searches a huge amount of internet access logs for malicious cyber attacks by using various graph pattern mining techniques.

"Outlier Detection Based on Machine Learning and Information Theory" (Takeuchi Group)

We propose the method to detect cyber attacks that are difficult to find by human-eyes using a powerful tool of machine learning and information theory.

"Statistical estimation and change point detection of network structure" (Murata Group)

We aim at detection of coordinated attacks by estimating important network structure based on statistical models which describe relationships between hosts.

"Outlier Detection Based on Algorithm and Computation Theory" (Yamashita Group)

We design efficient and robust algorithms for detection of cyber attacks using data compressions.

Research Group Page