计算机应用与软件2012，Vol.29Issue(12)：268-271,301,5.DOI:10.3969/j.issn.1000-386x.2012.12.076
一种基于Bayesian分类器的SSH网络隐蔽信道检测方法
A NEW SSH NETWORK COVERT CHANNEL DETECTION APPROACH BASED ON BAYESIAN CLASSIFIER
邱桂华1
作者信息
- 1. 江西科技学院信息工程学院 江西南昌330098
- 折叠
摘要
Abstract
Covert channel is a transfer scheme which can leak confidential information in information system covertly. Network covert channel is crucial to network data security protection and even to cloud computing platform' s, and becomes the focus of the information security field. In this paper, we present an example of network time covert channel which is based on the time intervals of SSH packets. The SSH protocol-based interval characteristics are analysed and a new detection approach based on Bayesian classifier is designed. The experiment results show that the covert channels can be detected at the accurate rate of 95% using this approach, which shows that the detection performance is excellent.关键词
隐蔽信道/网络隐蔽信道/Bayesian分类器/SSH协议/隐蔽信道检测Key words
Covert channel/Network covert channel/Bayesian classifier/SSH protocol/Covert channel detection分类
信息技术与安全科学引用本文复制引用
邱桂华..一种基于Bayesian分类器的SSH网络隐蔽信道检测方法[J].计算机应用与软件,2012,29(12):268-271,301,5.
