摘要
DNS是互联网的重要基础设施,现阶段DNS安全问题已经成为互联网安全可靠运行亟待解决的安全问题。本文对现有Notos、Exposure、Kopis3种DNS信誉检测系统进行了梳理,提出了采用机器学习基于时间特征、域名特征、信誉特征3种统计特性的DNS分析恶意行为检测系统。
DNSis a fundamental component of the Internet.At this stage,the security ofDNShas become an urgent problem to be solved which can ensure the reliable operation of the Internet.The paper reviews three reputation systems for DNS:Notos,Exposure,Kopis.In the paper,we present a reputation systems for DNS of the malicious behavior detection,which extracts three statistical featuresby machine learning,the characteristics are time-based,domain-based and reputation-based.
出处
《电信网技术》
2017年第8期80-83,共4页
Telecommunications Network Technology
关键词
恶意行为
DNS分析
机器学习
时间特征
域名特征
信誉特征
malicious behavior
DNSanalysis
machine learning
Time-based features
domain-based features
Reputationbased features
