摘要
将分数阶傅里叶变换(FRFT)和混沌密码学相结合,提出一种新的变换域加密算法——混沌密钥调制FRFT旋转因子,用于实现语音信号的实时加解密。采用特征分解型离散FRFT算法,使语音实时加密系统在语音信号解密过程中具备良好的还原特性。理论分析和测试结果表明,该算法安全性较高,优于单纯混沌加密或单纯分数阶傅里叶变换的加密方法。
By combining Fractional Fourier Transform(FRFT) and chaotic cryptography,this paper proposes a new transform domain encryption algorithm——chaotic key modulating the FRFT rotation factor,which is used to achieve real-time encryption and decryption for voice signals.By adopting eigen decomposition Discrete FRFT(DFRFT) algorithm,the real-time encryption system has good reduction property in decryption process of the speech signal.Theoretical analysis and test results show that the algorithm has high security,and it is better than the simple chaotic encryption or simplex FRFT encryption method.
出处
《计算机工程》
CAS
CSCD
2012年第12期95-98,共4页
Computer Engineering
基金
河北省教育厅基金资助项目(JYGH2011027)
唐山市科技攻关基金资助项目(11150201A-9)
关键词
语音通信
混沌调制
分数阶傅里叶变换
离散分数阶傅里叶变换
变换域加密
旋转因子
speech communication
chaotic modulation
Fractional Fourier Transform(FRFT)
Discrete Fractional Fourier Transform(DFRFT)
frequency domain encryption
rotation factor