• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: Detect ]" (111)
  1. 61. A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System
  2. 62. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites
    Da-hyeon Kim, Man-bok Park, Jun-ho Ahn, Vol. 23, No. 4, pp. 57-64, Aug. 2022
    10.7472/jksii.2022.23.4.57
    Keywords: Risk of building, Physical Security, Deep Learning, Disaster sites, Object Detection
  3. 63. A Study on the Evaluation of Classification Performance by Capacity of Explosive Components using Convolution Neural Network (CNN)
    Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 23, No. 4, pp. 11-19, Aug. 2022
    10.7472/jksii.2022.23.4.11
    Keywords: Deep Learning, explosive classification, abnormality detection system
  4. 64. Analysis of Building Characteristics and Temporal Changes of Fire Alarms
  5. 65. A hybrid intrusion detection system based on CBA and OCSVM for unknown threat detection
  6. 66. 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. 67. 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. 68. 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. 69. 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. 70. 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