Research

System Security

As information systems become increasingly complex, sophisticated attacks are on the rise. At Hashimoto Laboratory, we develop next-generation security infrastructure including mandatory access control, malicious activity identification using Data Provenance, and automated security analysis of TOMOYO Linux policies using logic programming.

AI / Machine Learning Security

AI and machine learning technologies are essential in cybersecurity. We conduct research on innovative security applications including machine learning methods for dark web threat intelligence extraction, multi-class classification of Japanese malicious sites using fastText and LightGBM, and binary code similarity detection using neural machine translation models.

Illegal / Harmful Information

Fake sites, phishing attacks, and disinformation spread have become serious social problems. We develop comprehensive analysis and countermeasure technologies including fake site damage mitigation, phishing attack group identification, dark web threat intelligence extraction, and social bot analysis.

Cybersecurity Operation / Education

With serious cybersecurity professional shortages and operational complexity, effective educational methods and support technologies are required. We develop practical operation support and educational methods including threat analysis support tools (FRAT&RATTATA, COTTAGE), gamification-based education, and learning motivation analysis.

Malware Analysis

With rapid malware evolution and IoT proliferation, new threat responses are urgent. We advance malware analysis technologies including automated IoT malware analysis, TLS communication identification, and machine learning-based malicious activity definition and classification techniques.