발간년도 : [2024]
| 논문정보 |
|
| 논문명(한글) |
[Vol.19, No.2] Data Access Pattern Analysis Model for Detecting Illegal Users |
|
| 논문투고자 |
Sang-Yeol Choi, Hyun-Ju Kim, Chang-Geun Kim |
|
| 논문내용 |
The rapid development of computer and network environments is making digital information an essential part of the overall life and operating patterns of individuals and businesses. Accordingly, the importance of security in the handling process of digital information is becoming more and more recognized. In addition, the spread of digital information is becoming an intensive target of various rapidly developing attack techniques. Therefore, it is very important to protect users' personal and system information and respond to illegal attacks. In particular, complex and sophisticated attack techniques such as Advanced Persistent Threats (APT) can no longer be said to be safe using existing response methods alone. Accordingly, it can be said that more research is needed to detect abnormal access patterns of users and prevent illegal attacks in advance. This study proposes a model that can detect abnormal access patterns to systems containing sensitive information such as personal identification information and medical records. The model proposed in this text can be said to be a technique that can ensure high availability of the system based on the access path to the information system, information access patterns, etc., and strengthen the stability of individual medical information in accordance with the implementation of telemedicine in the future. |
|
| 첨부논문 |
|
|
|
|
|
자료실 > 논문지 
