基于码元频数检测的比特序列加密算法
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摘要
采用随机性码元频数检测的方法实现对链路层加密数据的识别,提高随机性码元频数检测识别率。传统方法采用随机抽样的比特序列加密方法,加密与未加密链路层出现混同,加密性能不好。提出一种基于随机性码元频数检测的比特序列加密算法。构建随机性码元频数检测保密通信系统,建立随机性码元频数比特序列模型,选择分块长度作为分块长度目标值,求解发送端随机性码元频数比特序列加密的时延,进行码元频数检测,实现比特序列加密算法改进。获得足够泛化性能的控制密钥,提高承载信息信号所引起的随机性码元频数比特序列的抗噪性能。仿真结果表明,采用该算法,能有效提高对未加密数据的识别率,提高识别结果的可信度,展示了较好的应用价值。
By using the method of random element frequency detection of the encryption data recognition of the link layer, it can improve the random element frequency detection and recognition rate. The traditional method is using the bit sequence random sampling method of data encryption, encrypted and unencrypted link layer appears confused, encryption performance is not good. This paper presents an encryption algorithm bit sequence random symbol frequency detection based on.Construction of random sex symbol frequency detecting secret communication system, establish the random element frequency bit sequence model, select the block length as the block length of the target value, solve the sending end delay encrypted random symbol frequency bit sequence of symbols, frequency detection, realize the bit sequence of improved encryption algorithm. To obtain the control key generalization performance enough, improves the noise resistance performance of bearing random bit sequence symbol frequency caused by the information signal. The simulation results show that, using this algorithm, can effectively improve the unencrypted data recognition rate, improve the reliability of recognition result,showing a good application value.
By using the method of random element frequency detection of the encryption data recognition of the link layer, it can improve the random element frequency detection and recognition rate. The traditional method is using the bit sequence random sampling method of data encryption, encrypted and unencrypted link layer appears confused, encryption performance is not good. This paper presents an encryption algorithm bit sequence random symbol frequency detection based on.Construction of random sex symbol frequency detecting secret communication system, establish the random element frequency bit sequence model, select the block length as the block length of the target value, solve the sending end delay encrypted random symbol frequency bit sequence of symbols, frequency detection, realize the bit sequence of improved encryption algorithm. To obtain the control key generalization performance enough, improves the noise resistance performance of bearing random bit sequence symbol frequency caused by the information signal. The simulation results show that, using this algorithm, can effectively improve the unencrypted data recognition rate, improve the reliability of recognition result,showing a good application value.
引文
[1]付晓.防窃听和抗污染的低能耗安全网络编码方案研究[D].葫芦岛:辽宁工程技术大学,2012.
[2]刘琼,潘进,刘炯.基于信息论安全的防窃听网络编码方案[J].计算机工程,2012,38(22):107-110.
[3]DOD(Department of Defense).MIL-STD-188-220C[EB/OL].(2002-5-22)[2012-06-29].http://www.everyspec.com.
[4]CHARLES V W,FABIAN M,GERALD M M.On inferring application protocol behaviors in encrypted network traffic[J].Journal of Machine Learning Research,2006,7(12):2745-2769.
[5]SUN Guanglu,XUE Yibo,DONG Yingfei,et al.A Novel Hybrid Method for Effectively Classifying Encrypted Traffic:proceedings of Communications and Systems Security,2010[C]//.Miami USA,GLOBECOM 2010,2010 IEEE,2010:1-5.
[2]刘琼,潘进,刘炯.基于信息论安全的防窃听网络编码方案[J].计算机工程,2012,38(22):107-110.
[3]DOD(Department of Defense).MIL-STD-188-220C[EB/OL].(2002-5-22)[2012-06-29].http://www.everyspec.com.
[4]CHARLES V W,FABIAN M,GERALD M M.On inferring application protocol behaviors in encrypted network traffic[J].Journal of Machine Learning Research,2006,7(12):2745-2769.
[5]SUN Guanglu,XUE Yibo,DONG Yingfei,et al.A Novel Hybrid Method for Effectively Classifying Encrypted Traffic:proceedings of Communications and Systems Security,2010[C]//.Miami USA,GLOBECOM 2010,2010 IEEE,2010:1-5.