In this article, we propose a personal authentication method with Self-Organizing Maps (SOM) on our Web based DBMS for clinical cases. Information sharing on the World Wide Web (WWW), which is the most popular Internet service, is progressing rapidly today. Since WWW can cover the area crossed broadly, it is very effective as a means for information sharing. Unfortunately, with this global network access comes increased chances of malicious attack and intrusion. Traditional measures such as passwords and PINs are no longer adequate and we need to investigate more advanced safeguards against unauthorized access to DBMS. We tesed the system ability to measure FRR (False Rejection Rate) and FAR (False Acceptance Rate) on the map which is learning with 56 input-vectors. For result of this ability test, our system keeps FRR and FAR 25%. Thus it seems that our method is available for personal authentication.
