基于异常流量攻击的特征识别和防御系统  

Feature recognition and defense system based on abnormal traffic attack

作　　者：王萌[1] 宋汝鑫 严林涛 高宏佳 纪雷 WANG Meng;SONG Ruxin;YAN Lintao;GAO Hongjia;JI Lei(College of Computer Science and Information Engineering,Harbin Normal University,Harbin 150025,China)

机构地区：[1]哈尔滨师范大学计算机科学与信息工程学院,哈尔滨150025

出　　处：《智能计算机与应用》2018年第5期150-152,共3页Intelligent Computer and Applications

基　　金：黑龙江省大学生创新创业计划基金(201610231060);哈尔滨师范大学教育发展基金会资助项目;黑龙江省教育厅科学技术研究项目(12531181)

摘　　要：异常流量攻击一直是互联网防御中的一个软肋。随着科技的日新月异,数据流量越来越廉价,网络带宽在逐渐增加,而异常流量攻击也在不断的发展,规模在不断扩大,方式上也层出不穷。异常流量攻击的特征识别和防御系统的研究主要提出在特征识别上判断异常流量攻击的数据包和源IP,使用新IP地址的方法进行特征识别,基于CDN来进行流量清洗,对其实现防御。Abnormal traffic attacks have always been the weakness in Internet defenses. With the rapid development of science and technology,data traffic is becoming more and more cheaper. When the network bandwidth is gradually increasing,abnormal traffic attack is constantly developing. For the abnormal traffic attack,the attack scale is expanding and the attack means change quickly.The feature recognition and defense system based on abnormal traffic attack is determined to identify the data packet of the abnormal traffic attack and source IP of the abnormal traffic attack on the feature recognition,use the newIP address method for feature identification,and perform traffic cleaning based on CDN to defend it.

关 键 词：异常流量攻击 特征识别 CDN 安全防御 

分 类 号：TP393.8[自动化与计算机技术—计算机应用技术]