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Journal Articles
- 2006
[j4]Sang-Jun Han, Sung-Bae Cho:
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services. J. Inf. Knowl. Manag. 5(4): 291-301 (2006)- [j3]Sang-Jun Han, Sung-Bae Cho:
Evolutionary neural networks for anomaly detection based on the behavior of a program. IEEE Trans. Syst. Man Cybern. Part B 36(3): 559-570 (2006) - 2005
- [j2]Sang-Jun Han, Sung-Bae Cho:
A hybrid personal assistant based on Bayesian networks and a rule-based system inside a smartphone. Int. J. Hybrid Intell. Syst. 2(3): 221-234 (2005) - 2003
- [j1]Sang-Jun Han, Sung-Bae Cho:
Detecting intrusion with rule-based integration of multiple models. Comput. Secur. 22(7): 613-623 (2003)
Conference and Workshop Papers
- 2006
- [c6]Sang-Jun Han, Sung-Bae Cho:
Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model. ICANN (2) 2006: 884-893 - 2005
- [c5]Sang-Jun Han, Sung-Bae Cho:
Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone. KES (1) 2005: 737-743 - 2004
- [c4]Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. ICONIP 2004: 236 - 2003
- [c3]Sang-Jun Han, Sung-Bae Cho:
Combining Multiple Host-Based Detectors Using Decision Tree. Australian Conference on Artificial Intelligence 2003: 208-220 - [c2]Sung-Bae Cho, Sang-Jun Han:
Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems. RAID 2003: 207-219 - [c1]Sang-Jun Han, Sung-Bae Cho:
Rule-based integration of multiple measure-models for effective intrusion detection. SMC 2003: 120-125
Parts in Books or Collections
- 2004
- [p1]Sung-Bae Cho, Sang-Jun Han:
Intrusion Detection for Computer Security. Computationally Intelligent Hybrid Systems 2004: 245-272
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