Application identification based on network behavioral profiles
Author(s)
Author(s)
Hu, Y.
Lui, J. C. S.
Date Issued
2008
Publisher
IEEE
Related Publication(s)
Proceedings of the 2008 16th International Workshop on Quality of Service (IWQoS)
Start page
239
End page
248
Abstract
Accurate identification of network applications is important to many network activities. Traditional port-based technique has become much less effective since many new applications no longer use well-known port numbers. In this paper, we propose a novel profile-based approach to identify traffic flows belonging to the target application. In contrast to classifying traffic based on statistics of individual flows in previous studies, we build behavioral profiles of the target application, which describe dominant patterns of the application. Based on the behavioral profiles, a two-level matching is used in identifying new traffic. We first determine if a host participates in the application by comparing its behavior with the profiles. Subsequently, for each flow of the host we compare if it matches with the patterns in the profiles to determine which flows belong to this application. We demonstrate the effectiveness of our method on campus traffic traces. Our results show that one can identify the popular P2P applications with very high accuracy.
SFU Affiliated Publication
No
Availability at SFU Library
No database links found.