JICS

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. Design and Implementation of Sequential Pattern Miner to Analyze Alert Data Pattern

Moon-Sun Shin, Woo-Jin Paik, Vol. 10, No. 2, pp. 1-14, Apr. 2009
Keywords: alert data, IDS, sequential pattern mining, prefixSpan