A Stream Pattern Matching Method for Traffic Analysis

Can Mo; Hui Li; Hui Zhu

Forensics in Telecommunications, Information, and Multimedia. Third International ICST Conference, e-Forensics 2010, Shanghai, China, November 11-12, 2010, Revised Selected Papers

Research Article

A Stream Pattern Matching Method for Traffic Analysis

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@INPROCEEDINGS{10.1007/978-3-642-23602-0_12,
    author={Can Mo and Hui Li and Hui Zhu},
    title={A Stream Pattern Matching Method for Traffic Analysis},
    proceedings={Forensics in Telecommunications, Information, and Multimedia. Third International ICST Conference, e-Forensics 2010, Shanghai, China, November 11-12, 2010, Revised Selected Papers},
    proceedings_a={E-FORENSICS},
    year={2012},
    month={10},
    keywords={Traffic Recognition Stream Pattern Glushkov NFA},
    doi={10.1007/978-3-642-23602-0_12}
}

Can Mo
Hui Li
Hui Zhu
Year: 2012
A Stream Pattern Matching Method for Traffic Analysis
E-FORENSICS
Springer
DOI: 10.1007/978-3-642-23602-0_12

Can Mo¹, Hui Li¹, Hui Zhu¹

1: Xidian University

Abstract

In this paper, we propose a stream pattern matching method that realizes a standard mechanism which combines different methods with complementary advantages. We define a specification of the stream pattern description, and parse it to the tree representation. Finally, the tree representation is transformed into the S-CG-NFA for recognition. This method provides a high level of recognition efficiency and accuracy.

Keywords: Traffic Recognition Stream Pattern Glushkov NFA

Published: 2012-10-10

: http://dx.doi.org/10.1007/978-3-642-23602-0_12