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Search: "[ keyword: 기계학습 ]" (51)
Host-Based Intrusion Detection Model Using Few-Shot Learning
Park DaeKyeong, Shin DongIl, Shin DongKyoo, Kim Sangsoo KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 271-278,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
A Comparative Study of Machine Learning Algorithms Using LID-DS DataSet
Park DaeKyeong, Ryu KyungJoon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 91-98,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.91
Keywords: Machine Learning, HIDS, NIDS, LID-DS
https://doi.org/10.3745/KTSDE.2021.10.3.91
Keywords: Machine Learning, HIDS, NIDS, LID-DS
A Pre-processing Study to Solve the Problem of Rare Class Classification of Network Traffic Data
Ryu Kyung Joon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 12, pp. 411-418,
Dec.
2020
https://doi.org/10.3745/KTSDE.2020.9.12.411
Keywords: Machine Learning, Rare Class, Semi Rare Class, pre-processing, Feature selection
https://doi.org/10.3745/KTSDE.2020.9.12.411
Keywords: Machine Learning, Rare Class, Semi Rare Class, pre-processing, Feature selection
Analysis of Disaster Safety Situation Classification Algorithm Based on Natural Language Processing Using 119 Calls Data
Su-Jeong Kwon, Yun-Hee Kang, Yong-Hak Lee, Min-Ho Lee, Seung-Ho Park, Myung-Ju Kang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 317-322,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.317
Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.10.317
Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning
Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data
Junho Kim, Wongyum Kim, Doosung Hwang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 6, pp. 187-194,
Jun.
2020
https://doi.org/10.3745/KTSDE.2020.9.6.187
Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.6.187
Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning
Prediction of English Premier League Game Using an Ensemble Technique
Yi Jae Hyun, Lee Soo Won KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 5, pp. 161-168,
May.
2020
https://doi.org/10.3745/KTSDE.2020.9.5.161
Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis
https://doi.org/10.3745/KTSDE.2020.9.5.161
Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis
Hourly Prediction of Particulate Matter (PM2.5) Concentration Using Time Series Data and Random Forest
Deukwoo Lee, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 4, pp. 129-136,
Apr.
2020
https://doi.org/10.3745/KTSDE.2020.9.4.129
Keywords: Particulate Matter, PM2.5, Time Series Data, Machine Learning, Random Forest
https://doi.org/10.3745/KTSDE.2020.9.4.129
Keywords: Particulate Matter, PM2.5, Time Series Data, Machine Learning, Random Forest
Generating Training Dataset of Machine Learning Model for Context-Awareness in a Health Status Notification Service
Jong Hyeok Mun, Jong Sun Choi, Jae Young Choi KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 1, pp. 25-32,
Jan.
2020
https://doi.org/10.3745/KTSDE.2020.9.1.25
Keywords: context-awareness, Machine Learning Model, Generating Training Dataset, Maintaining Accuracy
https://doi.org/10.3745/KTSDE.2020.9.1.25
Keywords: context-awareness, Machine Learning Model, Generating Training Dataset, Maintaining Accuracy
Development of Joint-Based Motion Prediction Modelfor Home Co-Robot Using SVM
Sungyeob Yoo, Dong-Yeon Yoo, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 12, pp. 491-498,
Dec.
2019
https://doi.org/10.3745/KTSDE.2019.8.12.491
Keywords: Machine Learning, IoT, Digital Twin, Big data, Co-Robot
https://doi.org/10.3745/KTSDE.2019.8.12.491
Keywords: Machine Learning, IoT, Digital Twin, Big data, Co-Robot
Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
Joohwa Lee, Keehyun Park KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 12, pp. 483-490,
Dec.
2019
https://doi.org/10.3745/KTSDE.2019.8.12.483
Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder
https://doi.org/10.3745/KTSDE.2019.8.12.483
Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder