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. Research on Network Packet Analysis and Unknown Intrusion Detection Method based on LSTM-Autoencoder
   Hyoseong Park, Dongkyoo Shin, Dongil Shin, Vol. 26, No. 1, pp. 149-155, Feb. 2025
   10.7472/jksii.2025.26.1.149
   Keywords: LSTM, Autoencoder, Network intrusion detection, CIC-IDS2018
3. 3. 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
4. 4. 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
5. 5. 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
6. 6. 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
7. 7. A study on evaluation method of NIDS datasets in closed military network
   Yong-bin Park, Sung-uk Shin, In-sup Lee, Vol. 21, No. 2, pp. 121-130, Apr. 2020
   10.7472/jksii.2020.21.2.121
   Keywords: dataset, Network intrusion detection system, Data evaluation, Machine Learning
8. 8. Extraction of Network Threat Signatures Using Latent Dirichlet Allocation
   Sungil Lee, Suchul Lee, Jun-Rak Lee, Heung-youl Youm, Vol. 19, No. 1, pp. 1-10, Feb. 2018
   10.7472/jksii.2018.19.1.1
   Keywords: LDA, network threat detection, Intrusion Detection System, signature
9. 9. Security Framework for Improving the Performance of the Malicious Process Control System
   Iksu Kim, Jongmyung Choi, Vol. 14, No. 2, pp. 61-72, Apr. 2013
   10.7472/jksii.2013.14.2.61
   Keywords: Internet Worm, Intrusion Detection, Intrusion Prevention, Malicious Process
10. 10. Performance Analysis of TCAM-based Jumping Window Algorithm for Snort 2.9.0
    Sung-Yun Lee, Ki-Yeol Ryu, Vol. 13, No. 2, pp. 41-50, Apr. 2012
    10.7472/jksii.2012.13.2.41
    Keywords: Distributed Denial of Service, Intrusion Detection System, Jumping Window Algorithm, Snort2.9.0, TCAM