Dual Key Speech Encryption Algorithm Based Underdetermined BSS

When the number of the mixed signals is less than that of the source signals, the underdetermined blind source separation (BSS) is a significant difficult problem. Due to the fact that the great amount data of speech communications and real-time communication has been required, we utilize the intractability of the underdetermined BSS problem to present a dual key speech encryption method. The original speech is mixed with dual key signals which consist of random key signals (one-time pad) generated by secret seed and chaotic signals generated from chaotic system. In the decryption process, approximate calculation is used to recover the original speech signals. The proposed algorithm for speech signals encryption can resist traditional attacks against the encryption system, and owing to approximate calculation, decryption becomes faster and more accurate. It is demonstrated that the proposed method has high level of security and can recover the original signals quickly and efficiently yet maintaining excellent audio quality.

[1]  Keiichiro Koga,et al.  An analog speech scrambling system using the FFT technique with high-level security , 1989, IEEE J. Sel. Areas Commun..

[2]  Jun Cheng,et al.  Wavelet transform-based analogue speech scrambling scheme , 1996 .

[3]  Bernard P. Zajac Applied cryptography: Protocols, algorithms, and source code in C , 1994 .

[4]  Chin-Chen Chang,et al.  A new encryption algorithm for image cryptosystems , 2001, J. Syst. Softw..

[5]  Yeng Chai Soh,et al.  Chaotic cryptosystem with high sensitivity to parameter mismatch , 2003 .

[6]  Qiu-Hua Lin,et al.  Fast decryption utilizing correlation calculation for BSS-based speech encryption system , 2010, 2010 Sixth International Conference on Natural Computation.

[7]  Long-Jye Sheu,et al.  A speech encryption using fractional chaotic systems , 2011 .

[8]  Ed Dawson,et al.  Design and Cryptanalysis of Transform-Based Analog Speech Scamblers , 1993, IEEE J. Sel. Areas Commun..

[9]  G. V. Anand,et al.  Speech encryption using circulant transformations , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[10]  K. Deergha Rao,et al.  A New and Secure Cryptosystem for Image Encryption and Decryption , 2011 .

[11]  Hsien-Keng Chen,et al.  Anti-control of chaos in rigid body motion , 2004 .

[12]  Ruey-Wen Liu,et al.  General approach to blind source separation , 1996, IEEE Trans. Signal Process..

[13]  Andrzej Cichocki,et al.  Hidden image separation from incomplete image mixtures by independent component analysis , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[14]  Eihab B. M. Bashier,et al.  Speech scrambling based on chaotic maps and one time pad , 2013, 2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE).

[15]  Yunpeng Zhang,et al.  The Research of Applying Chaos Theory to Speech Communicating Encryption System , 2011 .

[16]  Fred Piper,et al.  Secure Speech Communications , 1985 .

[17]  Long Jye Sheu,et al.  A Semi- One Time Pad Using Blind Source Separation for Speech Encryption , 2011 .

[18]  Hualou Liang,et al.  A blind source separation based method for speech encryption , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.