@article{ART001662955},
author={Seok-Woo Jang and Gye-Young Kim and Hyeon-Suk Na},
title={Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2012},
volume={17},
number={5},
pages={21-28}
TY - JOUR
AU - Seok-Woo Jang
AU - Gye-Young Kim
AU - Hyeon-Suk Na
TI - Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features
JO - Journal of The Korea Society of Computer and Information
PY - 2012
VL - 17
IS - 5
PB - The Korean Society Of Computer And Information
SP - 21
EP - 28
SN - 1598-849X
AB - Recently, the necessity for good techniques of detecting network traffic attack has increased. In this paper, we suggest a new method of detecting abnormal patterns of network traffic data by visualizing their IP and port information into two dimensional images. The proposed approach first generates four 2D images from IP data of transmitters and receivers, and makes one 2D image from port data. Analyzing those images, it then extracts their major features such as linear patterns or high intensity values, and determines if traffic data contain DDoS or DoS Attacks. To comparatively evaluate the performance of the proposed algorithm, we show that our abnormal pattern detection method outperforms the existing algorithm in terms of accuracy and speed.
KW - Network Traffic;Abnormal Pattern;Visualization Technique;Intensity Feature
DO -
UR -
ER -
Seok-Woo Jang, Gye-Young Kim and Hyeon-Suk Na. (2012). Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. Journal of The Korea Society of Computer and Information, 17(5), 21-28.
Seok-Woo Jang, Gye-Young Kim and Hyeon-Suk Na. 2012, "Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features", Journal of The Korea Society of Computer and Information, vol.17, no.5 pp.21-28.
Seok-Woo Jang, Gye-Young Kim, Hyeon-Suk Na "Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features" Journal of The Korea Society of Computer and Information 17.5 pp.21-28 (2012) : 21.
Seok-Woo Jang, Gye-Young Kim, Hyeon-Suk Na. Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. 2012; 17(5), 21-28.
Seok-Woo Jang, Gye-Young Kim and Hyeon-Suk Na. "Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features" Journal of The Korea Society of Computer and Information 17, no.5 (2012) : 21-28.
Seok-Woo Jang; Gye-Young Kim; Hyeon-Suk Na. Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. Journal of The Korea Society of Computer and Information, 17(5), 21-28.
Seok-Woo Jang; Gye-Young Kim; Hyeon-Suk Na. Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. Journal of The Korea Society of Computer and Information. 2012; 17(5) 21-28.
Seok-Woo Jang, Gye-Young Kim, Hyeon-Suk Na. Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. 2012; 17(5), 21-28.
Seok-Woo Jang, Gye-Young Kim and Hyeon-Suk Na. "Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features" Journal of The Korea Society of Computer and Information 17, no.5 (2012) : 21-28.
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