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A Lightweight Software Model for Signature-Based Application-Level Traffic Classification System

Title
A Lightweight Software Model for Signature-Based Application-Level Traffic Classification System
Author
원영준
Keywords
Internet traffic classification; payload signature; processing speed; signature hierarchy
Issue Date
2014-10
Publisher
IEICE
Citation
IEICE Transactions on Information and Systems, 2014, E97D(10), P.2697-2705
Abstract
Internet traffic classification is an essential step for stable service provision. The payload signature classifier is considered a reliable method for Internet traffic classification but is prohibitively computationally expensive for real-time handling of large amounts of traffic on high-speed networks. In this paper, we describe several design techniques to minimize the search space of traffic classification and improve the processing speed of the payload signature classifier. Our suggestions are (1) selective matching algorithms based on signature type, (2) signature reorganization using hierarchical structure and traffic locality, and (3) early packet sampling in flow. Each can be applied individually, or in any combination in sequence. The feasibility of our selections is proved via experimental evaluation on traffic traces of our campus and a commercial ISP. We observe 2 to 5 times improvement in processing speed against the untuned classification system and Snort Engine, while maintaining the same level of accuracy.
URI
https://www.jstage.jst.go.jp/article/transinf/E97.D/10/E97.D_2013EDP7454/_article
ISSN
1745-1361
DOI
10.1587/transinf.2013EDP7454
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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