A Robust Speech Encryption Method Using Segmentation and Chaotic Keys for Enhanced Audio Security
摘要
This paper presents an innovative method for safeguarding audio files. The proposed technique leverages an advanced primary key with a complex structure, offering a vast keyspace resistant to hacking. The private key includes details for segmenting the speech audio file and generating unique chaotic keys for encryption. These keys are extremely sensitive to minor changes in the primary key, flagging any slight alteration during decryption as a hacking attempt. The method is tested and implemented on various speech signals, with the results analyzed to highlight the main features and improvements. The findings demonstrate how the technique improves encryption and decryption by optimizing metrics such as MSE, PSNR, CC, and NSCR. Speed analysis verifies the method’s performance by maximizing the throughput of the speech cryptography process. The results are compared with existing approaches to show the superiority and enhancements provided. This method is straightforward to implement, as it does not require modifying the algorithm when altering the speech audio file or the private key, making it a versatile solution for various speech encryption needs. This research is highly relevant to network security, as it ensures the integrity and confidentiality of transmitted speech signals, preventing unauthorized access and improving overall communication security.