网络安全与数据治理2024，Vol.43Issue(8)：40-43,4.DOI:10.19358/j.issn.2097-1788.2024.08.007
基于数据到达间隔的网络大流检测方法
Elephant flow detection method based on data arrival interval
摘要
Abstract
Detecting elephant flows is a critical task in network monitoring and management.The existing detection methods main-ly focus on the size of the flows,where they filter the elephant flows by size.However,the real elephant flows in high-speed net-work tend to be swamped by a large number of mouse flows,especially under limited memory size,resulting in the algorithm not being able to correctly detect elephant flows by size.In this paper,we propose a novel method which separates the elephant flows from the mouse flows by expelling the oldest flow which also takes on big arrival interval of data.Experimental results show that the new method achieves good precision with limited memory size.关键词
网络监管/大流检测/存储空间/数据到达间隔Key words
network monitoring and management/elephant flow detection/memory size/data arrival interval分类
信息技术与安全科学引用本文复制引用
赵亮,林栎..基于数据到达间隔的网络大流检测方法[J].网络安全与数据治理,2024,43(8):40-43,4.基金项目
四川省产教融合示范项目(23cjkc24) （23cjkc24）
中国科技城网络应急管理研究中心项目(WLYJGL2023YB07) （WLYJGL2023YB07）
自治区科技支疆项目(2022E02080) （2022E02080）
