Sound Encryption Algorithm with Perfect Reconstruction using Tent Map and Multidimensional Arnold Chaotic Systems

被引：0

作者：

Raducanu, Mircea ^{[1
]}

Cheroiu, Dominic-Gabriel ^{[1
]}

, Corina Macovei ^{[2
]}

机构：

[1] Univ Politehn Bucuresti, Telecommun Dept, Fac Elect Telecommun & Informat Technol, Bucharest, Romania

[2] Univ Politehn Bucuresti, Dept Appl Elect, Fac Elect Telecommun & Informat Technol, Bucharest, Romania

来源：

2022 45TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING, TSP | 2022年

关键词：

Arnold 3D _ chaotic system; encryption; performance metrics; perfect reconstruction; Tent Map chaotic system;

D O I：

10.1109/TSP55681.2022.9851365

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an encryption algorithm for speech signals based on two chaotic systems: Arnold 3D Map and Tent Map. The algorithm obtains the same results for audio signals. Encryption and decryption processes were considered to be error-free. The architecture of the algorithm has been built so that encryption leads to good performance metrics results and also is suitable for long sound pauses (specific to speech communications). By splitting the signal, the independent processing of each segment of length N-3 is ensured, leading to a real-time encryption and decryption. The influence of the segment length on the algorithm speed was also studied.

引用

页码：264 / 267

页数：4

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