JICS

1. 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

2. 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

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. 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

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. 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