干扰波动属性下的网络隐蔽信道检测方法研究  

Interference Wave Attribute of Network Concealed Channel Detection Method

作　　者：李艳平[1] 

机构地区：[1]菏泽学院计算机与信息工程系,山东菏泽274015

出　　处：《科技通报》2013年第10期79-81,共3页Bulletin of Science and Technology

基　　金：基金国家自然科学基金(60873139)

摘　　要：研究干扰波动属性下的网络隐蔽信道准确检测问题。网络隐蔽信道的属性特征在外界强干扰的条件下会发生一定程度的变化,如果多个信道属性变化程度较大,缺少融合约束,融合后的网络信道属性特征会发生偏差,导致网络隐蔽信道检测准确性不高。为了避免上述缺陷,提出了一种基于粒子滤波算法的分组LS频域信道检测方法。利用粒子滤波方法,去除外界因素造成的强干扰,为网络隐蔽信道检测提供准确的数据基础。利用分组LS频域信道检测方法,实现网络隐蔽信道检测。实验结果表明,利用本文算法进行网络隐蔽信道检测,能够提高检测的准确性,取得了令人满意的效果。The interference wave attribute of network concealed channel accurate detection problem. Network concealed channel attributes in the outside world under the condition of strong interference will occur a certain degree of change, if multiple channel in a wide range of attributes, lack of fusion constraint, merged network channel attribute can produce deviation, lead to network concealed channel detection accuracy is not high. In order to avoid the defect, put forward a kind of particle filter algorithm based on the grouping of LS frequency domain channel detection method. Use of particle filter method, remove the outside factors, strong interference for network concealed channel detection to provide accurate data base. Use group LS frequency domain channel detection method, realize network concealed channel detection. The experimental results show that this algorithm using network concealed channel detection, can improve the accuracy of detection, and achieved satisfactory results.

关 键 词：波动属性 隐蔽信道 信道检测 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]