HTTP Traffic Classification Based on Hierarchical Signature Structure
Summary :
Considering diversified HTTP types, the performance bottleneck of signature-based classification must be resolved. We define a signature model classifying the traffic in multiple dimensions and suggest a hierarchical signature structure to remove signature redundancy and minimize search space. Our experiments on campus traffic demonstrated 1.8 times faster processing speed than the Aho-Corasick matching algorithm in Snort.
- Publication
- IEICE TRANSACTIONS on Information Vol.E98-D No.11 pp.1994-1997
- Publication Date
- 2015/11/01
- Publicized
- 2015/08/19
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2014EDL8191
- Type of Manuscript
- LETTER
- Category
- Information Network
Authors
Sung-Ho YOON
Korea Univ.
Jun-Sang PARK
LG Electronics Inc.
Ji-Hyeok CHOI
ETRI
Youngjoon WON
Hanyang Univ.
Myung-Sup KIM
Korea Univ.
Keyword
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Sung-Ho YOON, Jun-Sang PARK, Ji-Hyeok CHOI, Youngjoon WON, Myung-Sup KIM, "HTTP Traffic Classification Based on Hierarchical Signature Structure" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 11, pp. 1994-1997, November 2015, doi: 10.1587/transinf.2014EDL8191.
Abstract: Considering diversified HTTP types, the performance bottleneck of signature-based classification must be resolved. We define a signature model classifying the traffic in multiple dimensions and suggest a hierarchical signature structure to remove signature redundancy and minimize search space. Our experiments on campus traffic demonstrated 1.8 times faster processing speed than the Aho-Corasick matching algorithm in Snort.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014EDL8191/_p
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@ARTICLE{e98-d_11_1994,
author={Sung-Ho YOON, Jun-Sang PARK, Ji-Hyeok CHOI, Youngjoon WON, Myung-Sup KIM, },
journal={IEICE TRANSACTIONS on Information},
title={HTTP Traffic Classification Based on Hierarchical Signature Structure},
year={2015},
volume={E98-D},
number={11},
pages={1994-1997},
abstract={Considering diversified HTTP types, the performance bottleneck of signature-based classification must be resolved. We define a signature model classifying the traffic in multiple dimensions and suggest a hierarchical signature structure to remove signature redundancy and minimize search space. Our experiments on campus traffic demonstrated 1.8 times faster processing speed than the Aho-Corasick matching algorithm in Snort.},
keywords={},
doi={10.1587/transinf.2014EDL8191},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - HTTP Traffic Classification Based on Hierarchical Signature Structure
T2 - IEICE TRANSACTIONS on Information
SP - 1994
EP - 1997
AU - Sung-Ho YOON
AU - Jun-Sang PARK
AU - Ji-Hyeok CHOI
AU - Youngjoon WON
AU - Myung-Sup KIM
PY - 2015
DO - 10.1587/transinf.2014EDL8191
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2015
AB - Considering diversified HTTP types, the performance bottleneck of signature-based classification must be resolved. We define a signature model classifying the traffic in multiple dimensions and suggest a hierarchical signature structure to remove signature redundancy and minimize search space. Our experiments on campus traffic demonstrated 1.8 times faster processing speed than the Aho-Corasick matching algorithm in Snort.
ER -
English
