발간년도 : [2014]
| 논문정보 |
|
| 논문명(한글) |
[Vol.9, No.6] An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight |
|
| 논문투고자 |
Se-Yul Lee, Jae-Hyeon An |
|
| 논문내용 |
The rapid advances and spread of network-based technologies have managed in increasing network related attacks and threats which result in insecurity system and possibilities of malicious intrusions. Recently, a number of Detection System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems, are useful only for the existing patterns of intrusion. Therefore, probe detection has become a major security protection technology to detection potential attacks. Probe detection needs to take into account a variety of factors and the relationship between the various factors to reduce false negative & positive error. It is necessary to develop new technology of probe detection that can find new pattern of probe. In this paper, we propose an improved hybrid probe detection based on 3-step modules. 3-step modules have session pattern analysis module, oriented weight module, and fuzzy cognitive map module. For the performance evaluation, the KDD CUP99 data made by MIT was used. Most of Detection System sensors provide less than 10% rate of false positives. The experiment results show that this approach can effectively reduce false positive rate and has a high detection rate. |
|
| 첨부논문 |
|
|
|
|
|
자료실 > 논문지 
