摘要
针对传统算法建立的隐蔽信道数据安全检测模型时,由于检测出的隐蔽信道类型过于单一,导致网络中隐蔽信道检测误差大的问题。提出采用基于改进递归图的网络中隐蔽信道数据安全检测建模方法。先利用递归图方法描述网络中隐蔽信道数据包时间间隔序列动力学特性,并计算出网络中隐蔽信道数据流时间排序递归图的确定率,在融合于分类支持向量机算法获取用户正常操作的网络数据包,将数据包定义为网络中隐蔽信道数据安全检测样本,构造网络中隐蔽信道数据安全检测向量,以检测向量为核心建立网络中隐蔽信道数据安全检测模型。仿真结果表明,改进的递归图的网络中隐蔽信道数据安全检测建模方法,检测准确率、时间均优于传统的安全检测方法,具有一定的实用性。
A security detection modeling method of covert channel data in the network was proposed based on improved recursive graph. Firstly,recursive graph method was used to describe the dynamics characteristics of time interval sequence of covert channel data packet in the network,and the determining rate of time sorting recursive graph of covert channel data flow in the network was calculated. Then,a classification support vector machine algorithm was fused to obtain the network data package of the user＇s normal operation. The packet was defined as the data security detection sample of covert channel in the network,and the security detection vector of covert channel data in the network was constructed. The detected vector was acted as the core,to establish the security detection model of covert channel data in the network. The simulation results show that the detection accuracy and time of the security detection modeling method for covert channel data in the network based on the improved recursive graph are superior to the traditional security method,and it has a certain practicability.
出处
《计算机仿真》
CSCD
北大核心
2016年第10期270-273,共4页
Computer Simulation
关键词
隐蔽信道
数据安全
递归图
Covert channel
Data security
Recursive graph
