摘要
在现代网络信息化发展的环境下,无线网络易受攻击,特别是拥有专有协议或未知协议的窃密行为,为了满足对网络的安全使用需求,提出了一种基于生物特征匹配的未知协议比特流数据分类方法。对指纹细节特征提取,然后对细节特征点校准,将细节特征点进行匹配,限定未知协议数据在网络上传输的规则;对未知协议比特流数据分类识别是关键,通过运用最大相关最小冗余的特征选择算法对数据帧进行特征选择,利用聚类算法归类分析达到对比特流数据分类的目的。实验结果证明,以生物特征识别认证为基础的限定规则,使未知协议比特流数据实现有效分类后,保证了无线网络环境。
In the development of modern information network environment, the wireless network is susceptible to attack, especially theft behavior has a proprietary protocol or unknown protocol, in order to meet the demand for the use of the network security, proposes an unknown protocol biometric matching bit stream data classification method based on. The extraction of fingerprint minutiae, then the minutiae alignment, matching minutiae, defining unknown protocol data transmission on the network of rules; an unknown protocol bit stream data classification is the key, through the application of optimization algorithm for feature data frame selection, classification and analysis to compare. The purpose of stream data classification using clustering algorithm. The experimental results show that the identification authentication based on biometric authentication is the basis of the limited rules, so that the unknown protocol bit stream data can effectively classify the data to ensure the wireless network environment.
出处
《科技通报》
北大核心
2016年第11期214-217,222,共5页
Bulletin of Science and Technology
基金
中国工程物理研究院科技发展基金(2012A0403021)
NSAF联合基金(U1230106)
国家信息安全发展计划(2013F098)
