Speech Encryption by Graphene-Based Acoustic Sensors

Graphene is a popular nanomaterial with excellent electrical and mechanical properties, and its nanosensor applications in the field of acoustics have been extensively researched. With the popularization of intelligent terminals and human-computer interaction, the personal privacy and security issues caused by information leakage have attracted public attention. Data encryption is an effective means to protect data, and the growth of data brought by nanoacoustic sensors makes it meaningful to research the encryption effect of data. In this paper, a resistive acoustic sensor is prepared by laser-induced graphene (LIG) to achieve data encryption during the acquisition process, which can better reduce the threat of data leakage in the process of information transmission and storage. The recognition and confusion ability of the data processed by the Tiny Encryption Algorithm (TEA) and chaotic encryption algorithm are verified by the neural network. Different encryption algorithms are fuzzily characterized by using the data density scatter plot after encryption, and the potential mechanism of their different distribution and the influence on the encryption effect are analyzed.