JICS

1. 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

2. 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

3. Deep Learning-based Abnormal Behavior Detection System for Dementia Patients

Kookjin Kim, Seungjin Lee, Sungjoong Kim, Jaegeun Kim, Dongil Shin, Dong-kyoo shin, Vol. 21, No. 3, pp. 133-144, Jun. 2020

10.7472/jksii.2020.21.3.133
Keywords: Abnomaly detection, deep-learning, Autoencoder, Long Short-Term Memory models

4. A Study on the Operation Concept of Cyber Warfare Execution Procedures

Sung-Joong Kim, JiHoon Yoo, HaengRok Oh, Dongil Shin, DongKyoo Shin, Vol. 21, No. 2, pp. 73-80, Apr. 2020

10.7472/jksii.2020.21.2.73
Keywords: cyber warfare, Battle damage assessment

5. A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm

Hyunju Lee, Dongil Shin, Dongkyoo Shin, Vol. 20, No. 5, pp. 27-36, Oct. 2019

10.7472/jksii.2019.20.5.27
Keywords: DEAP dataset, ICA, Arousal-Valence plane, Random Forest, Attribute Selected Classifier