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Tomohiro Morikawa (Bo Sun)
Tomohiro Morikawa (Bo Sun)
Associate professor, University of Hyogo, 兵庫県立大学
在 nsl.cs.waseda.ac.jp 的电子邮件经过验证
标题
引用次数
年份
VORTEX: Visual phishing detectiOns aRe Through EXplanations
F Charmet, T Morikawa, A Tanaka, T Takahashi
ACM Transactions on Internet Technology 24 (2), 1-24, 2024
2024
FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities
YW Chang, HY Chen, C Han, T Morikawa, T Takahashi, TN Lin
IEEE Transactions on Emerging Topics in Computing, 2023
12023
Color-coded Attribute Graph: Visual Exploration of Distinctive Traits of IoT-Malware Families
J Zhou, T Ban, T Morikawa, T Takahashi, D Inoue
2023 IEEE Symposium on Computers and Communications (ISCC), 1410-1416, 2023
2023
Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis.
C Han, A Tanaka, Jun'ichi Takeuchi, T Takahashi, T Morikawa, TN Lin
ICISSP, 617-625, 2023
2023
Toward a better understanding of mobile users’ behavior: A web session repair scheme
F Charmet, T Morikawa, T Takahashi
IEEE Access 10, 99931-99943, 2022
12022
Understanding the Characteristics of Public Blocklist Providers
M Umizaki, T Morikawa, A Fujita, T Takahashi, TN Lin, D Inoue
2022 IEEE Symposium on Computers and Communications (ISCC), 01-07, 2022
12022
IoT botnet detection based on the behaviors of DNS queries
CI Fan, CH Shie, CM Hsu, T Ban, T Morikawa, T Takahashi
2022 IEEE Conference on Dependable and Secure Computing (DSC), 1-7, 2022
22022
Towards Polyvalent Adversarial Attacks on URL Classification Engines
F Charmet, HC Tanuwidjaja, T Morikawa, T Takahashi
Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022
2022
Senseinput: An image-based sensitive input detection scheme for phishing website detection
SC Lin, PC Wl, HY Chen, T Morikawa, T Takahashi, TN Lin
ICC 2022-IEEE International Conference on Communications, 4180-4186, 2022
62022
IoT malware detection using function-call-graph embedding
CY Wu, T Ban, SM Cheng, B Sun, T Takahashi
2021 18th International Conference on Privacy, Security and Trust (PST), 1-9, 2021
92021
Detecting android malware and classifying its families in large-scale datasets
B Sun, T Takahashi, T Ban, D Inoue
ACM Transactions on Management Information Systems (TMIS) 13 (2), 1-21, 2021
92021
Impact of code deobfuscation and feature interaction in android malware detection
YC Chen, HY Chen, T Takahashi, B Sun, TN Lin
IEEE Access 9, 123208-123219, 2021
132021
Leveraging machine learning techniques to identify deceptive decoy documents associated with targeted email attacks
B Sun, T Ban, C Han, T Takahashi, K Yoshioka, J Takeuchi, ...
IEEE Access 9, 87962-87971, 2021
32021
Efficient detection and classification of internet-of-things malware based on byte sequences from executable files
TL Wan, T Ban, SM Cheng, YT Lee, B Sun, R Isawa, T Takahashi, D Inoue
IEEE Open Journal of the Computer Society 1, 262-275, 2020
282020
A privacy-preserving federated learning system for android malware detection based on edge computing
RH Hsu, YC Wang, CI Fan, B Sun, T Ban, T Takahashi, TW Wu, SW Kao
2020 15th Asia Joint Conference on Information Security (AsiaJCIS), 128-136, 2020
652020
Automation of vulnerability classification from its description using machine learning
M Aota, H Kanehara, M Kubo, N Murata, B Sun, T Takahashi
2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020
562020
A Privacy-Preserving Federated Learning System for Android Malware Detection based on Edge Computing
YC Wang
2020
Study on the vulnerabilities of free and paid mobile apps associated with software library
T Watanabe, M Akiyama, F Kanei, E Shioji, Y Takata, B Sun, Y Ishii, ...
IEICE TRANSACTIONS on Information and Systems 103 (2), 276-291, 2020
62020
Discovering malicious urls using machine learning techniques
B Sun, T Takahashi, L Zhu, T Mori
Data science in cybersecurity and cyberthreat intelligence, 33-60, 2020
32020
A scalable and accurate feature representation method for identifying malicious mobile applications
B Sun, T Ban, SC Chang, YS Sun, T Takahashi, D Inoue
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1182-1189, 2019
82019
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