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

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 t...

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Main Authors:	Hamza Awad, Hamza Ibrahim, Sulaiman, Mohd Nor, Izzeldin, I. Mohd, Mohamed Saad, Mahoub, Haitham, A. Jamil
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8295/ http://umpir.ump.edu.my/id/eprint/8295/ http://umpir.ump.edu.my/id/eprint/8295/1/Real-time_Traffic_Classification_Algorithm_Based_on_Hybrid_of_Signature_Statistical_and_Port_to_Identify_Internet_Applications.pdf

id	ump-8295
recordtype	eprints
spelling	ump-82952015-03-03T09:40:41Z http://umpir.ump.edu.my/id/eprint/8295/ Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications Hamza Awad, Hamza Ibrahim Sulaiman, Mohd Nor Izzeldin, I. Mohd Mohamed Saad, Mahoub Haitham, A. Jamil TK Electrical engineering. Electronics Nuclear engineering 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. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8295/1/Real-time_Traffic_Classification_Algorithm_Based_on_Hybrid_of_Signature_Statistical_and_Port_to_Identify_Internet_Applications.pdf 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.. http://dx.doi.org/10.1109/ISMS.2014.117
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hamza Awad, Hamza Ibrahim Sulaiman, Mohd Nor Izzeldin, I. Mohd Mohamed Saad, Mahoub Haitham, A. Jamil Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
description	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.
format	Conference or Workshop Item
author	Hamza Awad, Hamza Ibrahim Sulaiman, Mohd Nor Izzeldin, I. Mohd Mohamed Saad, Mahoub Haitham, A. Jamil
author_facet	Hamza Awad, Hamza Ibrahim Sulaiman, Mohd Nor Izzeldin, I. Mohd Mohamed Saad, Mahoub Haitham, A. Jamil
author_sort	Hamza Awad, Hamza Ibrahim
title	Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
title_short	Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
title_full	Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
title_fullStr	Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
title_full_unstemmed	Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
title_sort	real-time traffic classification algorithm based on hybrid of signature statistical and port to identify internet applications
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/8295/ http://umpir.ump.edu.my/id/eprint/8295/ http://umpir.ump.edu.my/id/eprint/8295/1/Real-time_Traffic_Classification_Algorithm_Based_on_Hybrid_of_Signature_Statistical_and_Port_to_Identify_Internet_Applications.pdf
first_indexed	2023-09-18T22:05:42Z
last_indexed	2023-09-18T22:05:42Z
_version_	1777414693380423680

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

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