Research On EEG Signal Encryption And Information Hiding Methods

As a new way of human-computer interaction,the brain-computer interface can be applied to online medical treatment and digital medicine.In the process of remote humancomputer interaction,EEG signals,and users’ private information needs to be transmitted through unsafe Internet channels.During this process,the user’s private information and EEG signals may be leaked,thereby affecting the user’s life and property safety.To protect the security of EEG signals,this paper constructs the EEG signal security protection system from two perspectives of EEG signal encryption and EEG signal information hiding.Firstly,chaos is widely used in EEG signal encryption due to its unique characteristics of unpredictability,nonlinearity,and sensitivity to the initial state.However,some onedimensional chaotic maps have security defects such as uneven data distribution,incoherent chaotic range,and periodic windows.To solve this problem,this paper proposes a K-sinetransform-based coupling chaotic system(K-STBCCS).K-STBCCS is a general framework,which can combine Any two chaotic maps are combined to generate a new chaotic map.Using the chaotic map generated by K-STBCCS,an EEG signal encryption scheme based on positive-negative diffusion is further proposed.Experimental results and analysis show that the proposed EEG signal encryption scheme has good performance and passed the strict password security test.Secondly,as a security protection method,information hiding can not only protect the security of private information but also check whether the EEG signal has been changed.To protect user privacy information and EEG signal security,this chapter proposes an EEG signal information hiding algorithm based on Wavelet Packet Transform-Singular Value Decomposition-Logistic.The algorithm introduces wavelet packet transform and singular value decomposition into the information hiding of EEG signals,which can hide more private information while ensuring better perceptual fidelity.At the same time,the method uses Logistic mapping to obfuscate private information,further enhancing the security of private information.The experimental results and analysis show that the EEG signal hiding algorithm proposed in this paper has smaller error and stronger robustness compared with other similar schemes.Finally,this paper builds an EEG signal protection system from two aspects of encryption and information hiding to ensure the security of EEG signals and user private information.