Digital Library

1. 71. A machine learning framework for performance anomaly detection
   Muhammad Hasnain, Muhammad Fermi Pasha, Imran Ghani, Seung Ryul Jeong, Aitizaz Ali, Vol. 23, No. 2, pp. 97-105, Apr. 2022
   10.7472/jksii.2022.23.2.97
   Keywords: Web services update, undetected regression anomalies, Performance metrics, services integrate
2. 72. Analysis of Abnormal Event Detection Research using Intelligent IoT Devices for Human Health Cares
   Do-hyeon Lee, Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 2, pp. 37-44, Apr. 2022
   10.7472/jksii.2022.23.2.37
   Keywords: Intelligence, Emergency detection, IoT sensors, wearable device, Health cares
3. 73. 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
4. 74. Analysis of Building Characteristics and Temporal Changes of Fire Alarms
   Gwanmuk Lim, Seoltae Ko, Yoosin Kim, Keon Chul Park, Vol. 22, No. 4, pp. 83-98, Aug. 2021
   10.7472/jksii.2021.22.4.83
   Keywords: Fire-fighting Facility Management System, Automatic Fire Detection Facility, Fire Alarm, Fire Detector, Real-time Sensing Analysis
5. 75. 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
6. 76. 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
7. 77. 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
8. 78. 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
9. 79. 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
10. 80. 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