MASAKI HASHIMOTO LABORATORY - Faculty of Engineering and Design, Kagawa University

News & Updates

2025.4	A co-authored paper with Keita Yamamoto (Institute of Information Security) , "COTTAGE: Supporting Threat Analysis for Security Novices with Auto-Generated Attack Defense Trees," has been accepted for 20th International Conference on Software Technologies (ICSOFT 2025).
2025.2	Shuhei Ippa's research paper, "The Relationship Between Emotional and Other Factors in Information Diffusion," has been accepted for IEEE Access.
2025.1	A co-authored paper with Prof. Keiichi Yonemura (National Institute of Technology, Kisarazu College) , "The Effects of Prior Learning and Motivation on Learning Outcomes in Gamified Cybersecurity Education: A Case Study Approach," has been accepted for JSSST Journal "Computer Software". A co-authored paper with Keisuke Sakai (Kanagawa Pref. Police) , "Phishing Prevention Focusing on Certificates and Input Forms: PoC as Browser Extensions," has been accepted for IEEE International Conference on Consumer Technology – Pacific 2025 (ICCT-Pacific 2025).
2024.12	A co-authored paper with Masaki Oya (Institute of Information Security) , "A Novel Framework for Reusable Attack Tree Patterns: Leveraging CAPEC for Semi-Automated Threat Modeling," has been accepted for 2025 9th International Conference on Cryptography, Security and Privacy (CSP). A co-authored paper with Shingo Matsugaya (Trend Micro Inc.) , "Characteristic Analysis and Attack Group Identification of Phishing Sites Targeting Japan, " has been accepted for The 13th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2025).
2024.11	Kotono Karasawa, Ryo Niwase, Kouki Hasui, Hiroshi Matsubara have been assigned. A co-authored paper with Dr. Makoto Shimamura (Trend Micro Inc.) , "An Analysis of the Relationship between Black-Hat SEO Malware Families Leveraging Information from Redirected Fake E-Commerce Scam Sites," won the Best Paper Award at the 2024 IEEE Conference on Dependable and Secure Computing (DSC).
2024.9	Shuhei Ippa's research paper, "An Analysis of Relationship Between Social Bots and Echo Chambers on X in Modern Japan," has been accepted for 2024 Twelfth International Symposium on Computing and Networking (CANDAR). A co-authored paper with Dr. Makoto Shimamura (Trend Micro Inc.) , "An Analysis of the Relationship between Black-Hat SEO Malware Families Leveraging Information from Redirected Fake E-Commerce Scam Sites," has been accepted for the 2024 IEEE Conference on Dependable and Secure Computing (DSC). Atsushi Kanda's research paper, "Can We Create a TLS Lie Detector?," has been accepted for Journal of Information Processing (JIP). Shuhei Ippa's research paper, "An Analysis of Social Bot Activity on X in Modern Japan," has been accepted for IEEE Access.
2024.6	Shuhei Ippa's research paper, "The Reality and Feature Analysis of Information Diffusion in Japanese Disinformation Examples," has been accepted for the 2024 19th Asia Joint Conference on Information Security (AsiaJCIS 2024).
2024.5	Keisuke Sakai's research paper, “An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM,” won the Best Paper Award at the 31st Annual Police Research Paper Information and Communication Research Division of the JP Ikigai Foundation.
2024.4	Our Laboratory has moved from the Institute of Information Security to Kagawa University.
2024.3	Shuhei Ippa, Naoyuki Shimizu have been successfully completed their master's degree. Shuhei Ippa's master's thesis "Survey and Analysis of Social Bots Activities on Social Media" won the 2023 Institute of Information Security Excellent Thesis Award. Shuhei Ippa's poster presentation "Survey and Analysis of Social Bots Activities on Social Media" won the ISS Square Award at the 2023 ISS Square Symposium.
2024.2	A co-authored paper with Prof. Keiichi Yonemura (National Institute of Technology, Kisarazu College) titled "Motivation and Educational Effectiveness in Teaching Expert Development Project by an Educational Community" has been accepted for the 2024 IEEE Global Engineering Education Conference (EDUCON).
2023.10	Keisuke Sakai's research paper "An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM" has been accepted for IEEE Access.
2023.9	Norimitsu Ito's research paper "Feature Extraction Methods for Binary Code Similarity Detection Using Neural Machine Translation Models" has been accepted for IEEE Access.
2023.4	Taishin Saito, Masanori Fujimaki, Jiang Honghao, Yuta Nakamura, Kosuke Tangi, Kang Tae Seok have been assigned.
2023.3	Hakushu Lin, Kunihito Adachi, Keisuke Sakai have been successfully completed their master's degree. Keisuke Sakai's poster presentation "An automatic detection system for fake shopping sites and future research" received the ISS Square Research Encouragement Award at the 2022 ISS Square Symposium.
2022.4	Yuma Masubuchi's paper "SIBYL: A Method for Detecting Similar Binary Functions Using Machine Learning" has been accepted for IEICE Transactions on Information and Systems. Shuhei Ippa, Kunihito Adachi, Keisuke Sakai have been assigned.
2022.3	Yasutaka Kimura, Keisuke Shiraishi, Huang Mingyang, Kazuki Kato have been successfully completed their master's degree. Keisuke Shiraishi's poster presentation "Research on Resilient Architecture for Autonomous IoT Systems" won the Associate ISS Square Award at the 2021 ISS Square Symposium.
2021.10	Naoyuki Shimizu has been assigned.
2021.5	Atsushi Kanda's paper "Identification of TLS Communications Using Randomness Testing" has been accepted for The 11th IEEE International Workshop on Network Technologies for Security, Administration & Protection (NETSAP 2021).
2021.4	Kazuki Kato and Hakushu Lin have been assigned.
2021.3	Moritoshi Aoyagi, Yusuke Kobayashi, Kosuke Takahashi, Takayuki Chiwaki, and Yuma Masubuchi have been successfully completed their master's degree. Moritoshi Aoyagi's master's thesis "Feature Extraction Methods for Binary Code Similarity Comparison Using Neural Machine Translation Models" and Yuma Masubuchi's master's thesis "Function Embedding Method for Binary Code Similarity Detection" won the 2020 Institute of Information Security Excellent Thesis Award.
2020.10	Masashi Kadoguchi's paper "Deep Self-Supervised Clustering of the Dark Web for Cyber Threat Intelligence" has been accepted for the 2020 IEEE International Conference on Intelligence and Security Informatics (ISI 2020). Hanae Kobayashi's paper "An Expert System for Classifying Harmful Content on the Dark Web" has been accepted for the 2020 IEEE International Conference on Intelligence and Security Informatics (ISI 2020).
2020.6	Moritoshi Aoyagi's research presentation "Search for Similar Binary Code in Cross-Architecture Using Neural Machine Translation Model" won the IEICE / ICSS 2019 Research Award.