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| Presentation | 2011-11-18 12:25 A study on improving accuracy of application identification for encrypted traffic Yohei Okada, Shingo Ata (Osaka City Univ.), Nobuyuki Nakamura, Yoshihiro Nakahira (OKI), Ikuo Oka (Osaka City Univ.)  IN2011-101 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In network management, application identification of traffic is important. However, encrypted traffic has been increasing due to be raised secure communication in recent years. Especially, VPN interconnection system is generally utilized and has been increasing. In the VPN network, accurate identification is becoming difficult by using methods proposed so far, because it is so hard to infer the original (unencrypted) packets from encrypted packets. Our research group has purposed the methods in order to improve the accuracy of application identification even if a large portion of the traffic is encrypted. In this paper, we show that the identification accuracy of application for the encrypted traffic can be improved. Experimental results show that these methods improve identification accuracy even if many application type and variety of environments. Moreover, we use two data-mining approaches, that are Naive Bayes classifier with kernel estimation and C4.5 decision tree, and compared to these methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | encryption / application identification / network measurement / statistical information / flow analysis / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 295, IN2011-101, pp. 49-54, Nov. 2011. | |
| Paper # | IN2011-101 | |
| Date of Issue | 2011-11-10 (IN) | |
| 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 | IN2011-101 |
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| Conference Information | |
| Committee | MoNA IN |
| Conference Date | 2011-11-17 - 2011-11-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2011-11-MoMuC-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on improving accuracy of application identification for encrypted traffic |
| Sub Title (in English) | |
| Keyword(1) | encryption |
| Keyword(2) | application identification |
| Keyword(3) | network measurement |
| Keyword(4) | statistical information |
| Keyword(5) | flow analysis |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yohei Okada |
| 1st Author's Affiliation | Osaka City University (Osaka City Univ.) |
| 2nd Author's Name | Shingo Ata |
| 2nd Author's Affiliation | Osaka City University (Osaka City Univ.) |
| 3rd Author's Name | Nobuyuki Nakamura |
| 3rd Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 4th Author's Name | Yoshihiro Nakahira |
| 4th Author's Affiliation | Oki Electric Industry Co., Ltd. (OKI) |
| 5th Author's Name | Ikuo Oka |
| 5th Author's Affiliation | Osaka City University (Osaka City Univ.) |
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| Speaker | Author-1 |
| Date Time | 2011-11-18 12:25:00 |
| Presentation Time | 25 minutes |
| Registration for | IN |
| Paper # | IN2011-101 |
| Volume (vol) | vol.111 |
| Number (no) | no.295 |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2011-11-10 (IN) |
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