Digital Library
Search: "[ keyword: Autoencoder ]" (7)
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1. Research on Network Packet Analysis and Unknown Intrusion Detection Method based on LSTM-AutoencoderHyoseong Park, Dongkyoo Shin, Dongil Shin, Vol. 26, No. 1, pp. 149-155, Feb. 2025
10.7472/jksii.2025.26.1.149
Keywords: LSTM, Autoencoder, Network intrusion detection, CIC-IDS2018 -
Hansol Park, Kookjin Kim, Jaeyeong Jeong, jisu Jang, Jaepil Youn, Dongkyoo Shin, Vol. 23, No. 6, pp. 39-48, Dec. 2022
10.7472/jksii.2022.23.6.39
Keywords: Anomaly Detection, Autoencoder, BGP Archive Data -
Young-jeon Lee, Myung-Mook Han, Vol. 22, No. 2, pp. 1-9, Apr. 2021
10.7472/jksii.2021.22.2.1
Keywords: Variant Malware, Malware classification, Variational AutoEncoder, Tranfer Learning, Ensemble learning -
Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
10.7472/jksii.2021.22.1.23
Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise -
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 -
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 -
7. A Study on the Characteristics of a series of Autoencoder for Recognizing Numbers used in CAPTCHAJae-seung Jeon, Jong-sub Moon, Vol. 18, No. 6, pp. 25-34, Dec. 2017
10.7472/jksii.2017.18.6.25
Keywords: CAPTCHA, Autoencoder, Stacked autoencoder, Denoising, SOFTMAX