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Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

Authors
Shim, Kyu-SeokGoo, Young-HoonLee, DongcheulKim, Myung-Sup
Issue Date
31-3월-2019
Publisher
KSII-KOR SOC INTERNET INFORMATION
Keywords
Automatic; Traffic Classification; Association Rule Mining; Payload Signature
Citation
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.13, no.3, pp.1284 - 1297
Indexed
SCIE
SCOPUS
KCI
Journal Title
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume
13
Number
3
Start Page
1284
End Page
1297
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/66587
DOI
10.3837/tiis.2019.03.009
ISSN
1976-7277
Abstract
The network environment is presently becoming very increased. Accordingly, the study of traffic classification for network management is becoming difficult. Automatic signature extraction system is a hot topic in the field of traffic classification research. However, existing automatic payload signature generation systems suffer problems such as semi-automatic system, generating of disposable signatures, generating of false-positive signatures and signatures are not kept up to date. Therefore, we provide a fully automatic signature update system that automatically performs all the processes, such as traffic collection, signature generation, signature management and signature verification. The step of traffic collection automatically collects ground-truth traffic through the traffic measurement agent (TMA) and traffic management server (TMS). The step of signature management removes unnecessary signatures. The step of signature generation generates new signatures. Finally, the step of signature verification removes the false-positive signatures. The proposed system can solve the problems of existing systems. The result of this system to a campus network showed that, in the case of four applications, high recall values and low false-positive rates can be maintained.
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