Chaos-based Encryption of Biomedical EEG Signals using Random Quantization Technique
As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that access to personal health information is limited to properly authorized individuals. In this paper, a chaos-based encryption method is proposed to secure patients EEG data before transmission over an insecure channel. The proposed method employs a multiplexer to dynamically select between two randomly quantized bitstreams for secure key generation. This method is simulated to encrypt the EEG datasets and the statistical properties such as signal distribution, auto and cross-correlation, power spectral density and the residual deviation of the encrypted/original EEG signals are evaluated. The experimental results verify that the proposed method has high security and is suitable for the protection of sensitive EEG data.
lorenz chaos system EEG signals encryption security random quantization
Musheer Ahmad Shahab Saquib Sohail Omar Farooq Anoop L Vyas Sekharjit Datta David Mulvaney
Department of Computer Engineering,JMI, New Delhi-110025, INDIA Department of Computer Science, AMU, Aligarh-202002, INDIA Department of Electronics Engineering, AMU, Aligarh-202002, INDIA Instrument Design Development Centre,IIT, New Delhi-110016, INDIA Department of Electronic and Electrical Engg., Loughborough University, Loughborough, UK
国际会议
上海
英文
1484-1488
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）