Automatic Payload Signature Update System for Classification of Recent Network Applications 


Vol. 42,  No. 1, pp. 98-107, Jan.  2017


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  Abstract

In these days, the increase of applications that highly use network resources has revealed the limitations of the current research phase from the traffic classification for network management. Various researches have been conducted to solutions for such limitations. The representative study is automatic finding of the common pattern of traffic. However, since the study of automatic signature generation is a semi-automatic system, users should collect the traffic. Therefore, these limitations cause problems in the traffic collection step leading to untrusted accuracy of the signature verification process because it does not contain any of the generated signature. In this paper, we propose an automated traffic collection, signature management, signature generation and signature verification process to overcome the limitations of the automatic signature update system. By applying the proposed method in the campus network, actual traffic signatures maintained the completeness with no false-positive.

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  Cite this article

[IEEE Style]

K. Shim, Y. Goo, S. Lee, B. D. Sija, M. Kim, "Automatic Payload Signature Update System for Classification of Recent Network Applications," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 98-107, 2017. DOI: .

[ACM Style]

Kyu-Seok Shim, Young-Hoon Goo, Sung-Ho Lee, Baraka D. Sija, and Myung-Sup Kim. 2017. Automatic Payload Signature Update System for Classification of Recent Network Applications. The Journal of Korean Institute of Communications and Information Sciences, 42, 1, (2017), 98-107. DOI: .

[KICS Style]

Kyu-Seok Shim, Young-Hoon Goo, Sung-Ho Lee, Baraka D. Sija, Myung-Sup Kim, "Automatic Payload Signature Update System for Classification of Recent Network Applications," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 98-107, 1. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880