Digital Library

1. 1. A Study on Data Augmentation Methods for Improving the Performance of Machine Learning Models in Network Attack Detection
   Taesu Kim, Dongkyoo Shin, Dongil Shin, Vol. 26, No. 3, pp. 1-7, Jun. 2025
   10.7472/jksii.2025.26.3.1
   Keywords: Network intrusion detection, data augmentation
2. 2. A Method for Region-Specific Anomaly Detection on Patch-wise Segmented PA Chest Radiograph
   Hyun-bin Kim, Jun-Chul Chun, Vol. 24, No. 1, pp. 49-59, Feb. 2023
   10.7472/jksii.2023.24.1.49
   Keywords: Anomaly Detection, Chest Radiograph, computer vision, Semi-supervised learning, Image Feature Modeling
3. 3. Detection of Signs of Hostile Cyber Activity against External Networks based on Autoencoder
   Hansol Park, Kookjin Kim, Jaeyeong Jeong, jisu Jang, Jaepil Youn, Dongkyoo Shin, Vol. 23, No. 6, pp. 39-48, Dec. 2022
   10.7472/jksii.2022.23.6.39
   Keywords: Anomaly Detection, Autoencoder, BGP Archive Data
4. 4. Anomaly detection and attack type classification mechanism using Extra Tree and ANN
   Min-Gyu Kim, Myung-Mook Han, Vol. 23, No. 5, pp. 79-85, Oct. 2022
   10.7472/jksii.2022.23.5.79
   Keywords: Extreme Random Forest, Artificial neural network, Anomaly Detection, Anomaly Detection and Attack type Classification, Network intrusion detection
5. 5. Application of Discrete Wavelet Transforms to Identify Unknown Attacks in Anomaly Detection Analysis
   Dong-Wook Kim, Gun-Yoon Shin, Ji-Young Yun, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 3, pp. 45-52, Jun. 2021
   10.7472/jksii.2021.22.3.45
   Keywords: Unknown Attack, Discrete wavelet transform, Anomaly Detection, One-class SVM
6. 6. 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
7. 7. 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