面向状态的互联网应用心跳流检测算法  

State-oriented heartbeat flow detection algorithm for internet applications

作　　者：徐亮 郭文仙 丁伟 XU Liang;GUO Wenxian;DING Wei(School of Cyber Science and Engineering,Southeast University,Nanjing,Jiangsu 211189,China)

机构地区：[1]东南大学网络空间安全学院,江苏南京211189

出　　处：《福州大学学报（自然科学版）》2023年第5期697-703,共7页Journal of Fuzhou University(Natural Science Edition)

基　　金：国家重点研发计划资助项目(2021YFB3101401)。

摘　　要：从设计者角度将心跳机制分为无状态心跳机制和有状态心跳机制,根据不同心跳机制形成心跳流的特点,提出心跳流检测的统计算法和偏离指标算法.为验证算法的有效性,将算法实现并部署在40 GB带宽的中国教育和科研计算机网(CERNET)南京主节点网络边界,并连续7 d进行面向实际流量的测试,实验结果证实了算法的可用性.From the perspective of designers,the heartbeat mechanism is divided into stateless heartbeat mechanism and stateful heartbeat mechanism.Based on the characteristics of heartbeat flows formed by different heartbeat mechanisms,statistical algorithm for heartbeat flow detection and deviation index algorithm are proposed.To validate the effectiveness of the algorithms,they were implemented and deployed on the network boundary of the main node of China Education and Research Network(CERNET)with a bandwidth of 40 GB.Continuous 7 day tests were conducted with real traffic,and the experimental results confirmed the viability of this algorithm.

关 键 词：网络测量 应用心跳流 心跳机制 心跳流检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]