Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications

Hamza Awad, Hamza Ibrahim and Sulaiman, Mohd Nor and Izzeldin, I. Mohd and Mohamed Saad, Mahoub and Haitham, A. Jamil (2014) Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications. In: Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014) , 27-29 January 2014 , Sheraton Langkawi Beach Resort Teluk Nibong Langkawi, Kedah. pp. 652-657..

[img] PDF
Real-time_Traffic_Classification_Algorithm_Based_on_Hybrid_of_Signature_Statistical_and_Port_to_Identify_Internet_Applications.pdf - Published Version
Restricted to Repository staff only

Download (406kB) | Request a copy


Internet traffic classification gained significant attention in the last few years. Most of the current classification methods were only valid for offline classification. The three common classification methods i.e. port, payload and statistics based have some limitations. This paper exploits the advantages of all the three methods by combining them to produce a new classification algorithm called SSPC (Signature Statistical Port Classifier). In the proposed algorithm, each of the three classifiers will individually classify the same traffic flow. Based on certain priority rules, SSPC makes classification decisions for each flow. The SSPC algorithm was used to classifying four types of Internet applications in two stages, initially offline and later online. The results of both cases show that SSPC is the higher accuracy when compared with other classifiers. In addition, as demonstrated in the real time online experiments done, SSPC algorithm uses a short time to classify traffic and thus it is suitable to be used for online classification.

Item Type: Conference or Workshop Item (Other)
Uncontrolled Keywords: Internet traffic Classification; Machine Learning; Hybrid classifier; Port classification; Signature classification
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 03 Feb 2015 02:04
Last Modified: 03 Sep 2021 08:43
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item