Combining Multiple Host-Based Detectors Using Decision Tree. - Sang-Jun Han; Sung-Bae Cho (Australian Conference on Artificial Intelligence, 2003)

Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems. - Sung-Bae Cho; Sang-Jun Han (RAID, 2003)

Rule-based integration of multiple measure-models for effective intrusion detection. - Sang-Jun Han; Sung-Bae Cho (SMC, 2003)

Detecting intrusion with rule-based integration of multiple models. - Sang-Jun Han; Sung-Bae Cho (Comput. Secur., 2003)

Intrusion Detection for Computer Security. - Sung-Bae Cho; Sang-Jun Han (Computationally Intelligent Hybrid Systems, 2004)

Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. - Sang-Jun Han; Kyung-Joong Kim 001; Sung-Bae Cho (ICONIP, 2004)

Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone. - Sang-Jun Han; Sung-Bae Cho (KES (1), 2005)

A hybrid personal assistant based on Bayesian networks and a rule-based system inside a smartphone. - Sang-Jun Han; Sung-Bae Cho (Int. J. Hybrid Intell. Syst., 2005)

Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model. - Sang-Jun Han; Sung-Bae Cho (ICANN (2), 2006)

Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services. - Sang-Jun Han; Sung-Bae Cho (J. Inf. Knowl. Manag., 2006)

Evolutionary neural networks for anomaly detection based on the behavior of a program. - Sang-Jun Han; Sung-Bae Cho (IEEE Trans. Syst. Man Cybern. Part B, 2006)