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. |
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| Research theme |
1. Malware Analysis by Machine Learning |
| Research keywords |
| Network Security , Digital Forensics , Authentication Technology |
| Lab link |