一种关于Hadoop的流量异常分布式检测系统架构与设计  

Architecture and Design of a Distributed Detection System for Traffic Anomaly in Hadoop

作　　者：钟唐强[1] Zhong Tangqiang(Zhangzhou Institute of Technology,Zhangzhou Fujian,363000)

机构地区：[1]漳州职业技术学院,福建漳州363000

出　　处：《电子测试》2022年第19期93-95,71,共4页Electronic Test

摘　　要：流量异常主要是指网络中的流量发生着不规则的明显变化。尤其是由于网络的脆弱性、保密协议的缺陷和隐藏的网络漏洞,给金融、教育和军事等领域造成了不同程度的损失。且在具体的解决过程中,有关分布式的异常检测研究催生了新的思路和新的解决方法。针对网络中的流量异常现象,本文基于Hadoop技术设计实现流量异常分布式检测系统架构。作为解决流量异常的方法,本文在设计中提出了一些新的思路,以期为解决互联网安全问题提供指导,并对未来研究方向提出展望。Traffic anomaly mainly refers to irregular and obvious changes in the traffic in the network.Especially due to the fragility of the network,the flaws of the non-disclosure agreement and the hidden network loopholes,it has caused different degrees of losses to the fields of finance,education and the military.And in the specific solution process,the research on distributed anomaly detection has spawned new ideas and new solutions.Aiming at the abnormal traffic phenomenon in the network,this paper designs and implements the distributed detection system architecture of traffic abnormality based on Hadoop technology.As a method to solve abnormal traffic,this paper puts forward some new ideas in the design,in order to provide guidance for solving Internet security problems,and put forward prospects for future research directions.

关 键 词：HADOOP 流量异常 分布式检测 系统设计 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]