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Rikima Mitsuhashi
Rikima Mitsuhashi
The University of Tokyo, Hokkaido University, and Shizuoka University
Verified email at os.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
High-accuracy malware classification with a malware-optimized deep learning model
R Mitsuhashi, T Shinagawa
arXiv preprint arXiv:2004.05258, 2020
182020
Malicious DNS tunnel tool recognition using persistent DoH traffic analysis
R Mitsuhashi, Y Jin, K Iida, T Shinagawa, Y Takai
IEEE Transactions on Network and Service Management, 2022
132022
Identifying malicious dns tunnel tools from doh traffic using hierarchical machine learning classification
R Mitsuhashi, A Satoh, Y Jin, K Iida, T Shinagawa, Y Takai
Information Security: 24th International Conference, ISC 2021, Virtual Event …, 2021
122021
Detection of dga-based malware communications from doh traffic using machine learning analysis
R Mitsuhashi, Y Jin, K Iida, T Shinagawa, Y Takai
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 224-229, 2023
52023
Exploring optimal deep learning models for image-based malware variant classification
R Mitsuhashi, T Shinagawa
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
42022
A method for watermarking to bézier polynomial surface models
H Nagahashi, R Mitsuhashi, K Morooka
IEICE TRANSACTIONS on Information and Systems 87 (1), 224-232, 2004
42004
A method for embedding watermarks to Bézier parametric surface models
R Mitsuhashi
Proc. Fifth IASTED Int. Conf. COMPUTER GRAPHICS AND IMAGING, 2002, 103-109, 2002
32002
Deriving optimal deep learning models for image-based malware classification
R Mitsuhashi, T Shinagawa
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1727-1731, 2022
12022
Ensemble Malware Classifier Considering PE Section Information
R TAKEUCHI, R MITSUHASHI, M NISHIGAKI, T OHKI
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2024
2024
A proposal on performance improvement method of machine learning-based congestion control using L4S ultra-low latency services
K Aoki, R Mitsuhashi, K Iida, Y Takai
IEICE Technical Report; IEICE Tech. Rep. 123 (318), 5-11, 2023
2023
[Dataset] Malicious DNS Tunnel Tool Recognition using Persistent DoH Traffic Analysis
R Mitsuhashi, Y Jin, K Iida, T Shinagawa, Y Takai
2023
[Dataset] Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis
R Mitsuhashi, Y Jin, K Iida, T Shinagawa, Y Takai
2022
A proposal of detection system for malicious DoH communication generated by DGA-based malware
R Mitsuhashi, Y Jin, K Iida, T Shinagawa, Y Takai
IEICE Technical Report; IEICE Tech. Rep., 0
Recognition of Malicious DNS Tunnel Tools by DoH Traffic Analysis Using Multi-stage Machine Learning Technology
R Mitsuhashi, Y Jin, K Iida, T Shinagawa, Y Takai
IEICE Technical Report; IEICE Tech. Rep., 0
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Articles 1–14