@article{ART001662955},
author={Jang Seok-Woo 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},
doi={}
TY - JOUR
AU - Jang Seok-Woo
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 -
ER -
Jang Seok-Woo, 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.
Jang Seok-Woo, 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. Available from: doi:
Jang Seok-Woo, 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.
Jang Seok-Woo, Gye-young Kim, Hyeon Suk Na. Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. 2012; 17(5), 21-28. Available from: doi:
Jang Seok-Woo, 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.doi:
Jang Seok-Woo; 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. doi:
Jang Seok-Woo; 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. doi:
Jang Seok-Woo, Gye-young Kim, Hyeon Suk Na. Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features. 2012; 17(5), 21-28. Available from: doi:
Jang Seok-Woo, 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.doi:
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