摘要
提出一种基于潜质挖掘的贪婪攻击安全检测系统。首先对输入网络系统的所有数据进行训练,依据模型的攻击结果,建立相应的攻击库。同时对攻击的变种进行识别和拦截,由于潜质挖掘具有很好的模糊识别性能,所以对于贪婪攻击具有很好的拦截性能。采用4种不同的攻击进行测试实验,结果显示,基于潜质挖掘的贪婪攻击安全检测系统可以很好的识别4种不同的攻击,优于传统方法性能,可以被广泛应用到安全检测系统中。
A detection of network security under greedy attack was proposed based on potential mining, the data input to thenet was trained first, and according to the attack model, the library was build, so the change of the attack can also be detected, the greedy attack was detected well with the potential mining. A four kinds of attack was taken as target to test the effect, the result shows that under greedy attack, the method with potential mining can detect the four kinds of attack withgood performance, so it can be used widely in application of security detection.
出处
《科技通报》
北大核心
2014年第4期122-124,共3页
Bulletin of Science and Technology
基金
河南省科技厅2013年科技发展计划项目(132102310516)
关键词
潜质挖掘
贪婪攻击
安全检测
potential mining
greedy attack
detection of network security
