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PERM-GUARD: Authenticating the Validity of Flow Rules in Software Defined Networking

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Software Defined Networking (SDN) is one of the typical flow-rule-driven networks. In SDN, a centralized controller dictates the network behavior and configures network devices with many flow rules, and the validity and consistency of flow rules could guarantee the normal operations in SDN. Therefore, SDN requires a secure and efficient mechanism to manage and authenticate flow rules between the application layer and the control layer. In this paper, our target problem is to authenticate the validity of flow rules in SDN. We analyze the mechanisms to generate and insert flow rules in SDN respectively, and present PERM-GUARD, a fine-grained flow rule production-permission authentication scheme. PERM-GUARD employs a new permission authentication model and introduces an identity-based signature scheme to ensure that the controller can verify the validity of flow rules. We conduct theoretical analysis and evaluate our approach by simulation. The results demonstrate that PERM-GUARD can efficiently identify and reject fake flow rules generated by unregistered applications. Meanwhile, our approach can also effectively filter unauthorized flow rules created by valid applications.

源语言英语
主期刊名Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015
编辑Tao Zhang, Sajal K. Das, Tao Zhang, Meikang Qiu
出版商Institute of Electrical and Electronics Engineers Inc.
127-132
页数6
ISBN(电子版)9781467392990
DOI
出版状态已出版 - 4 1月 2016
活动2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - New York, 美国
期限: 3 11月 20155 11月 2015

出版系列

姓名Proceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015

会议

会议2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015
国家/地区美国
New York
时期3/11/155/11/15

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