Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification
Identification of bandwidth-heavy Internet traffic is important for network administrators to throttle high-bandwidth application traffic. Flow features based classification have been previously proposed as promising method to identify Internet traffic based on packet statistical features. The selec...
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Institute of Advanced Engineering and Science
2018
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Online Access: | http://eprints.utm.my/id/eprint/81919/1/Bushra%20Mohammed%20Ali%202018_Impacof%20packeinter-arrival%20time.pdf http://eprints.utm.my/id/eprint/81919/ http://dx.doi.org/10.11591/ijece.v8i4.pp2521-2530 |
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my.utm.819192019-09-30T13:04:46Z http://eprints.utm.my/id/eprint/81919/ Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification Abdalla, Bushra Mohammed Ali Hamdan, Mosab Mohammed, Mohammed Sultan Bassi, Joseph Stephen Ismail, Ismahani Marsono, Muhammad Nadzir TK Electrical engineering. Electronics Nuclear engineering Identification of bandwidth-heavy Internet traffic is important for network administrators to throttle high-bandwidth application traffic. Flow features based classification have been previously proposed as promising method to identify Internet traffic based on packet statistical features. The selection of statistical features plays an important role for accurate and timely classification. In this work, we investigate the impact of packet inter-arrival time feature for online P2P classification in terms of accuracy, Kappa statistic and time. Simulations were conducted using available traces from University of Brescia, University of Aalborg and University of Cambridge. Experimental results show that the inclusion of inter-arrival time (IAT) as an online feature increases simulation time and decreases classification accuracy and Kappa statistic. Institute of Advanced Engineering and Science 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/81919/1/Bushra%20Mohammed%20Ali%202018_Impacof%20packeinter-arrival%20time.pdf Abdalla, Bushra Mohammed Ali and Hamdan, Mosab and Mohammed, Mohammed Sultan and Bassi, Joseph Stephen and Ismail, Ismahani and Marsono, Muhammad Nadzir (2018) Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification. International Journal of Electrical and Computer Engineering, 8 (4). ISSN 2088-8708 http://dx.doi.org/10.11591/ijece.v8i4.pp2521-2530 |
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TK Electrical engineering. Electronics Nuclear engineering Abdalla, Bushra Mohammed Ali Hamdan, Mosab Mohammed, Mohammed Sultan Bassi, Joseph Stephen Ismail, Ismahani Marsono, Muhammad Nadzir Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification |
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Identification of bandwidth-heavy Internet traffic is important for network administrators to throttle high-bandwidth application traffic. Flow features based classification have been previously proposed as promising method to identify Internet traffic based on packet statistical features. The selection of statistical features plays an important role for accurate and timely classification. In this work, we investigate the impact of packet inter-arrival time feature for online P2P classification in terms of accuracy, Kappa statistic and time. Simulations were conducted using available traces from University of Brescia, University of Aalborg and University of Cambridge. Experimental results show that the inclusion of inter-arrival time (IAT) as an online feature increases simulation time and decreases classification accuracy and Kappa statistic. |
format |
Article |
author |
Abdalla, Bushra Mohammed Ali Hamdan, Mosab Mohammed, Mohammed Sultan Bassi, Joseph Stephen Ismail, Ismahani Marsono, Muhammad Nadzir |
author_facet |
Abdalla, Bushra Mohammed Ali Hamdan, Mosab Mohammed, Mohammed Sultan Bassi, Joseph Stephen Ismail, Ismahani Marsono, Muhammad Nadzir |
author_sort |
Abdalla, Bushra Mohammed Ali |
title |
Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification |
title_short |
Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification |
title_full |
Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification |
title_fullStr |
Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification |
title_full_unstemmed |
Impact of packet inter-arrival time features for online peer-to-peer (P2P) classification |
title_sort |
impact of packet inter-arrival time features for online peer-to-peer (p2p) classification |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2018 |
url |
http://eprints.utm.my/id/eprint/81919/1/Bushra%20Mohammed%20Ali%202018_Impacof%20packeinter-arrival%20time.pdf http://eprints.utm.my/id/eprint/81919/ http://dx.doi.org/10.11591/ijece.v8i4.pp2521-2530 |
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1651866380055609344 |
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13.2014675 |