作　　者： (田原）;

机构地区： 辽阳市第一中等职业技术专业学校,辽宁辽阳111000

出　　处： 《网络空间安全》 2017年第8期35-37,共3页

摘　　要： 在互联网中理解网络行为最高效的途径即是对网络数据流量进行安全检测与分析,它是对已有互联网的组建、规范化和改造的依据,同时也是对Internet进行安全检测的重要环节。为了解决网络中的资源和高速IP流量之间的冲突问题,需要对网络流进行多种方式的安全处理与算法研究。论文首先提出了改进的数据抽样技术并综合论述了现阶段基于抽样技术的数据测量算法的研究,同时通过对重要数据参数的重新设置和分析,并结合使用多种数据取样的方法,探讨改进的数据空间映射技术,与现阶段的各种取样方式,在测量网络长流算法中的综合应用^([1])。 Way in the Internet to understand network behavior is the most efficient and the detection and analysis of network data flow. It is the basis for the formation,standardization and transformation of the existing internet. In the meantime, it is also an important part of Internet security testing. In order to solve the problem of conflict between network resources and high speed IP flow. Study on the safe handling and algorithm to perform a variety of modes of network flow.This paper proposes an improved sampling data base and discusses the current research sampling algorithm based on measurement data. At the same time by resetting the data on important parameters analysis and combined with the method of using a variety of data sampling,the discussion of data space mapping technique and comprehensive application of various sampling methods at the stage in the measurement of network flows in algorithm.

关 键 词： 报文抽样 哈希 网络测量 流