Sang-Jun Han

According to our database, Sang-Jun Han authored at least 11 papers between 2003 and 2006.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model.

Sang-Jun Han, Sung-Bae Cho

Proceedings of the Artificial Neural Networks, 2006

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

Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone.

Sang-Jun Han, Sung-Bae Cho

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004

Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection.

Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Intrusion Detection for Computer Security.

Sung-Bae Cho, Sang-Jun Han

Proceedings of the Computationally Intelligent Hybrid Systems, 2004

2003

Detecting intrusion with rule-based integration of multiple models.

Sang-Jun Han, Sung-Bae Cho

Comput. Secur., 2003

Rule-based integration of multiple measure-models for effective intrusion detection.

Sang-Jun Han, Sung-Bae Cho

Proceedings of the IEEE International Conference on Systems, 2003

Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems.

Sung-Bae Cho, Sang-Jun Han

Proceedings of the Recent Advances in Intrusion Detection, 6th International Symposium, 2003

Combining Multiple Host-Based Detectors Using Decision Tree.

Sang-Jun Han, Sung-Bae Cho

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003