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基于码元频数检测的比特序列加密算法    

Bit Sequence Encryption Algorithm Based on Symbol Frequency Detection

文献类型:期刊文献

中文题名:基于码元频数检测的比特序列加密算法

英文题名:Bit Sequence Encryption Algorithm Based on Symbol Frequency Detection

作者:李亚红[1];冯炳灿[2];冯东华[1,3]

第一作者:李亚红

机构:[1]南阳理工学院计算机与信息工程学院;[2]新乡学院设备处;[3]武汉理工大学计算机科学与技术学院

第一机构:南阳理工学院计算机与信息工程学院,河南南阳473004

年份:2015

卷号:31

期号:8

起止页码:105-107

中文期刊名:科技通报

外文期刊名:Bulletin of Science and Technology

收录:CSTPCD;;北大核心:【北大核心2014】;

基金:河南省教育厅自然科学计划研究项目;编码:2010C520007

语种:中文

中文关键词:随机性码元频数检测;比特序列;加密算法

外文关键词:random symbol frequency detection;bit sequence encryption algorithm

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 eneryption, encrypted and unencrypted link layer appears confused, encryption performance is not good. This paper presents an eneryption 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.

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