Computer Science Program

Ryuya UDA

Name

Ryuya UDA

Department/Research Field

Computer Science/Information Security


Research content
Malware subspecies such as metamorphic-type can be detected by machine learning without applying generic methods or dynamic heuristic methods. Password analysis by shoulder hacking of smart phones can be prevented with matching characteristics on inputting. Text-based CAPTCHA methods are proposed which are difficult to be recognized by computers and are easy to be by human beings by applying visual characteristics.

Research theme

1. Malware Analysis by Machine Learning
2. Personal Identification on Flick Input of Smart Phones
3. Text-based CAPTCHA with Resistance against Computer Analysis

Research keywords
Network Security , Digital Forensics , Authentication Technology
Lab link