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SDN中面向流表溢出攻击检测的网络遥测调度方法

邓笛 崔允贺 申国伟 郭春 陈意 钱清

计算机应用研究2024,Vol.41Issue(11):3464-3470,7.
计算机应用研究2024,Vol.41Issue(11):3464-3470,7.DOI:10.19734/j.issn.1001-3695.2024.03.0075

SDN中面向流表溢出攻击检测的网络遥测调度方法

Network telemetry scheduling method for detecting flow table overflow attacks in SDN

邓笛 1崔允贺 1申国伟 1郭春 1陈意 1钱清2

作者信息

  • 1. 贵州大学公共大数据国家重点实验室,贵阳 550025||贵州大学计算机科学与技术学院 文本计算与认知智能教育部工程研究中心 贵阳 550025||贵州大学计算机科学与技术学院 贵州省软件工程与信息安全特色重点实验室,贵阳 550025
  • 2. 贵州财经大学信息学院,贵阳 550025
  • 折叠

摘要

Abstract

This paper proposed a network telemetry scheduling method,F-Sense INT,aimed at solving the data redundancy issue caused by network telemetry scheduling based on fixed periods or specific event scheduling for detecting flow table overflow attacks.F-Sense INT analyzed the characteristics of flow table overflow attack traffic flows and collected network state information used for detecting such attacks.F-Sense INT decreased telemetry reporting volume while reducing the use of controller resources consumption and southbound channel bandwidth consumption.Experimental results demonstrate that F-Sense INT effectively filters out non-flow table overflow attack flows in the network.It reduces the quantity of telemetry data packets compared to the native OVS system,with only a 1.13%increase in switches CPU utilization and a 4.18%increase in memory usage.F-Sense INT significantly enhances network telemetry efficiency in the context of flow table overflow attack de-tection and offers high practicality.

关键词

网络遥测/流表溢出攻击/数据平面

Key words

network telemetry/flow table overflow attack/data plane

分类

信息技术与安全科学

引用本文复制引用

邓笛,崔允贺,申国伟,郭春,陈意,钱清..SDN中面向流表溢出攻击检测的网络遥测调度方法[J].计算机应用研究,2024,41(11):3464-3470,7.

基金项目

国家自然科学基金资助项目(62102111) (62102111)

贵州省科技计划资助项目(黔科合基础-ZK[2022]重点011) (黔科合基础-ZK[2022]重点011)

贵州省高等学校大数据安全与网络安全创新团队资助项目(黔教技[2023]052号) (黔教技[2023]052号)

计算机应用研究

OA北大核心CSTPCD

1001-3695

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