KJCKorea
Journal Central

@article{ART001941567},
author={Se-Yul Lee and Jaehyeon An},
title={An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2014},
volume={9},
number={6},
pages={685-690}

TY - JOUR
AU - Se-Yul Lee
AU - Jaehyeon An
TI - An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight
JO - Journal of Knowledge Information Technology and Systems
PY - 2014
VL - 9
IS - 6
PB - Korea Knowledge Information Technology Society
SP - 685
EP - 690
SN - 1975-7700
AB - 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.
KW - Fuzzy cognitive maps;Oriented Weights;Improved hybrid probes;Session patterns;KDD Cup 1999 Data Sets
DO -
UR -
ER -

Se-Yul Lee and Jaehyeon An. (2014). An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight. Journal of Knowledge Information Technology and Systems, 9(6), 685-690.

Se-Yul Lee and Jaehyeon An. 2014, "An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight", Journal of Knowledge Information Technology and Systems, vol.9, no.6 pp.685-690.

Se-Yul Lee, Jaehyeon An "An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight" Journal of Knowledge Information Technology and Systems 9.6 pp.685-690 (2014) : 685.

Se-Yul Lee, Jaehyeon An. An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight. 2014; 9(6), 685-690.

Se-Yul Lee and Jaehyeon An. "An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight" Journal of Knowledge Information Technology and Systems 9, no.6 (2014) : 685-690.

Se-Yul Lee; Jaehyeon An. An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight. Journal of Knowledge Information Technology and Systems, 9(6), 685-690.

Se-Yul Lee; Jaehyeon An. An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight. Journal of Knowledge Information Technology and Systems. 2014; 9(6) 685-690.

Se-Yul Lee, Jaehyeon An. An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight. 2014; 9(6), 685-690.

Se-Yul Lee and Jaehyeon An. "An Improved Hybrid Probe Detection Model Based on Modules using Oriented Weight" Journal of Knowledge Information Technology and Systems 9, no.6 (2014) : 685-690.