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| Presentation | 2015-09-04 10:35 [Encouragement Talk] Identification of Mobile Applications via In-Network Machine Learning Using N-gram for Application-Specific Traffic Control Takamitsu Iwai, Akihiro Nakao (UTokyo)  NS2015-78 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Identifying the application transmitting a given flow of network traffic is beneficial for network management, especially for achieving application specific QoS, enabling malware detection, and executing network functions such as content caching only for a particular application. Although typical methods for application identification include port scanning and pattern recognition using application signature, they suffer from various problems, e.g., for the former, ephemeral port usage and dynamic port allocation hinder accurate application identification, and for the latter, it is costly to collect application signatures, especially from encrypted traffic. The existing research for application identification using machine learning have shortcomings such as a limited scope of identifiable applications, inability to deal with real-time traffic, and few efforts have been put to fine-grained application identification, e.g., at the level of application identifiers such as YouTube and Chrome. We have proposed a real-time identification method using reliable and on-line training data collection performed by adding the application identifier at the end of the SYN packet. Our existing method identifies 80% mobile applications accurately without Deep Packet Inspection (DPI). In this paper, we propose a new method that improves inference accuracy using DPI even applicable to encrypted traffic. We evaluate our method in real MVNO traffic and show our method identifies at maximum 92% applications in the traffic accurately using 2-gram features of packet payloads. We also improve the inference accuracy from 82% without DPI to 90 % with DPI when learning period is limited to 5 days. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | application identification / machine learning / SDN / NFV / MVNO / mobile edge computing / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 209, NS2015-78, pp. 41-46, Sept. 2015. | |
| Paper # | NS2015-78 | |
| Date of Issue | 2015-08-27 (NS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NS2015-78 |
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| Conference Information | |
| Committee | IN NS CS NV |
| Conference Date | 2015-09-03 - 2015-09-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Iwate-ken Kokaido |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Post IP networking, Next Generation Network (NGN)/New Generation Network (NWGN), Contingency Plan/BCP, Network Coding/Network Algorithms, Session Management (SIP/IMS), Internetworking/Standardization, Network configuration, etc. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2015-09-IN-NS-CS-NV |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Identification of Mobile Applications via In-Network Machine Learning Using N-gram for Application-Specific Traffic Control |
| Sub Title (in English) | |
| Keyword(1) | application identification |
| Keyword(2) | machine learning |
| Keyword(3) | SDN |
| Keyword(4) | NFV |
| Keyword(5) | MVNO |
| Keyword(6) | mobile edge computing |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takamitsu Iwai |
| 1st Author's Affiliation | University of Tokyo (UTokyo) |
| 2nd Author's Name | Akihiro Nakao |
| 2nd Author's Affiliation | University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2015-09-04 10:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2015-78 |
| Volume (vol) | vol.115 |
| Number (no) | no.209 |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2015-08-27 (NS) |
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