Digital Library

1. 51. A hybrid intrusion detection system based on CBA and OCSVM for unknown threat detection
   Gun-Yoon Shin, Dong-Wook Kim, Jiyoung Yun, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 3, pp. 27-35, Jun. 2021
   10.7472/jksii.2021.22.3.27
   Keywords: Unknown Threat, Hybrid Intrusion Detection, Classification based on Association Rule, One-class SVM
2. 52. A Research on Network Intrusion Detection based on Discrete Preprocessing Method and Convolution Neural Network
   JiHoon Yoo, Byeongjun Min, Sangsoo Kim, Dongil Shin, Dongkyoo Shin, Vol. 22, No. 2, pp. 29-39, Apr. 2021
   10.7472/jksii.2021.22.2.29
   Keywords: NSL-KDD, Network intrusion detection, CNN, Discretization of Continuous
3. 53. An Interpretable Log Anomaly System Using Bayesian Probability and Closed Sequence Pattern Mining
   Jiyoung Yun, Gun-Yoon Shin, Dong-Wook Kim, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 2, pp. 77-87, Apr. 2021
   10.7472/jksii.2021.22.2.77
   Keywords: Explainable AI, Log anomaly detection, Bayesian Probability, Rule Extraction
4. 54. Network Intrusion Detection with One Class Anomaly Detection Model based on Auto Encoder
   Byeoungjun Min, Jihoon Yoo, Sangsoo Kim, Dongil Shin, Dongkyoo Shin, Vol. 22, No. 1, pp. 13-22, Feb. 2021
   10.7472/jksii.2021.22.1.13
   Keywords: Anomaly Detection, Network intrusion detection, Autoencoder, NSL-KDD