Abstract
Recently, with the rapid development of biomedical information, establishing secure communication and appropriate security services has become necessary to ensure a secure information exchange process. Therefore, to protect the privacy and confidentiality of personal data, in this study, we use a chaotic system, Lü system of the Lorenz-like system, to generate chaotic signals and apply them to encrypt the biomedical information. In addition, with one of the states of the chaotic system, we design a simple proportional-derivative (PD) controller to synchronize the master-slave chaotic systems for decrypting the biomedical information. Then, we encrypt the biomedical information, electrocardiography (ECG) and electromyography (EMG), measured about 30 s to 60 s to get tens of thousands of data from the subjects at the transmitting side (master) and send them to the receiving side (slave). After the receiving side receives the encrypted information, it decrypts them with the PD controller and then obtains the 1 mV to 2 mV biomedical signals. Thus, the security of the biomedical information can be ensured and realized.
Highlights
With the current rapid development of technology, several methods are available for information transmission, such as e-mail, cloud hard drive, and USB
Many asymmetric encryption methods have been proposed—such as RSA and ElGamal encryption—which use the property of homomorphism, multi-party computation, MPC, which breaks the secret into many shares, or chaotic systems in continuous-time domain which generates the random sequence
We develop a new type of encryption method that encrypts the information by using signals generated by the chaotic system and decrypts the encrypted information by the synchronization scheme with the signals and PD controller
Summary
With the current rapid development of technology, several methods are available for information transmission, such as e-mail, cloud hard drive, and USB. Many asymmetric encryption methods have been proposed—such as RSA and ElGamal encryption—which use the property of homomorphism, multi-party computation, MPC, which breaks the secret into many shares, or chaotic systems in continuous-time domain which generates the random sequence. These encryption methods mainly use mathematical computation and encrypt important information to avoid its decryption. We employ particle swarm optimization (PSO) to obtain the best parameters (K p , Ki , and Kd ) and complete the synchronization of the two systems for correctly encrypting and decrypting the biomedical information
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