Packet in Message Based DDoS Attack Detection in SDN Network Using OpenFlow

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

12 被引用数 (Scopus)

抄録

Using the OpenFlow protocol, the virtual network technology SDN (Software Defined Network) is now widely used. In recent years, the number of DDoS attacks has been increasing year by year. To detect DDoS attacks in SDN, data recorded in the flow table in OpenFlow switch is analyzed and various detection methods are submitted. However, SDN centrally manages communication within the network, when detecting DDoS (Distributed Denial of Service) attacks. This creates a heavy processing load, and the processing load of the OpenFlow controller must be considered. In this paper, in order to reduce the processing load of the controller, we do not collect data of the flow table, extract three features from the Packet In message for communication between the controller and the switch, and perform real-time attack detection. Furthermore, to avoid stringent detection time intervals, triggers will be added before detection to realize light and dynamic DDoS attacks detection.

本文言語英語
ホスト出版物のタイトルProceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ522-528
ページ数7
2018-January
ISBN(電子版)9781538620878
DOI
出版ステータス出版済み - 4 23 2018
イベント5th International Symposium on Computing and Networking, CANDAR 2017 - Aomori, 日本
継続期間: 11 19 201711 22 2017

その他

その他5th International Symposium on Computing and Networking, CANDAR 2017
国/地域日本
CityAomori
Period11/19/1711/22/17

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ

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