SONG Jungsuk | National Institute of Information and Communications Technology
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概要
関連著者
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SONG Jungsuk
National Institute of Information and Communications Technology
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INOUE Daisuke
National Institute of Information and Communications Technology
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ETO Masashi
National Institute of Information and Communications Technology
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NAKAO Koji
National Institute of Information and Communications Technology
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NAKAO Koji
the National Institute of Information and Communications Technology (NICT)
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KIM Hyung
National Institute of Information and Communications Technology
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Okabe Yasuo
Kyoto Univ. Kyoto Jpn
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Okabe Yasuo
Academic Center For Computing And Media Studies Kyoto University
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Takakura Hiroki
Academic Center For Computing And Media Studies Kyoto University
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Inoue Daisuke
National Institute Of Information And Communicarions Technology
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Song Jungsuk
Graduate School Of Informatics Kyoto University
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KWON Yongjin
Information and Telecommunication Engineering, Korea Aerospace University
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Kwon Yongjin
Information And Telecommunication Engineering Korea Aerospace University
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Shikata J
The Graduate School Of Environment And Information Sciences Yokohama National University
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Ohira Kenji
Graduate School Of Informatics Kyoto University
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Matsumoto T
Yokohama National Univ. Yokohama‐shi Jpn
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Yoshioka K
The Graduate School Of Environment And Information Sciences Yokohama National University
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Orii Tatsunori
The Yokohama National University
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NAKAZATO Junji
National Institute of Information and Communications Technology
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KIM Hyung
the National Institute of Information and Communications Technology (NICT)
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YOSHIOKA Katsunari
the Yokohama National University
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INOUE Daisuke
the National Institute of Information and Communications Technology (NICT)
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SONG Jungsuk
the National Institute of Information and Communications Technology (NICT)
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ETO Masashi
the National Institute of Information and Communications Technology (NICT)
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SHIKATA Junji
the Yokohama National University
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MATSUMOTO Tsutomu
the Yokohama National University
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KIM Hyung
National Fusion Research Institute
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ETO Masashi
the National Institute of Information and Communications Technology
著作論文
- O-means: An Optimized Clustering Method for Analyzing Spam Based Attacks
- Unsupervised Anomaly Detection Based on Clustering and Multiple One-Class SVM
- A Clustering Method for Improving Performance of Anomaly-Based Intrusion Detection System
- O-means : An Optimized Clustering Method for Analyzing Spam Based Attacks
- A Comparative Study of Unsupervised Anomaly Detection Techniques Using Honeypot Data
- A Novel Malware Clustering Method Using Frequency of Function Call Traces in Parallel Threads
- An Empirical Evaluation of an Unpacking Method Implemented with Dynamic Binary Instrumentation