Digital Library

1. 51. Bidirectional LSTM based light-weighted malware detection modelusing Windows PE format binary data
   Kwang-Yun PARK, Soo-Jin LEE, Vol. 23, No. 1, pp. 87-93, Feb. 2022
   10.7472/jksii.2022.23.1.87
   Keywords: Bidirectional LSTM, Windows PE malware, Detection, EMBER2018
2. 52. Intelligent Abnormal Situation Event Detections for Smart Home Users Using Lidar, Vision, and Audio Sensors
   Da-hyeon Kim, Jun-ho Ahn, Vol. 22, No. 3, pp. 17-26, Jun. 2021
   10.7472/jksii.2021.22.3.17
   Keywords: Smart home. Intelligent, Abnormal detections, Sensor fusing, algorithm
3. 53. 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
4. 54. An Interpretable Log Anomaly System Using Bayesian Probability and Closed Sequence Pattern Mining
   Jiyoung Yun, Gun-Yoon Shin, Dong-Wook Kim, Sang-Soo Kim, Myung-Mook Han, Vol. 22, No. 2, pp. 77-87, Apr. 2021
   10.7472/jksii.2021.22.2.77
   Keywords: Explainable AI, Log anomaly detection, Bayesian Probability, Rule Extraction
5. 55. 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