Chaos-Based Secure Communications in Biomedical Information Application

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, Lu 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.

[1]  Carroll,et al.  Synchronization in chaotic systems. , 1990, Physical review letters.

[2]  Nadia M. G. Al-Saidi,et al.  Image encryption based on highly sensitive chaotic system , 2019 .

[3]  Hussain A. Jaber,et al.  Heart Rate Monitoring and PQRST Detection Based on Graphical User Interface with Matlab , 2015 .

[4]  Richard B. Reilly,et al.  Automatic classification of ECG beats using waveform shape and heart beat interval features , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[5]  Fernando Corinto,et al.  Memristor-based chaotic circuit for pseudo-random sequence generators , 2016, 2016 18th Mediterranean Electrotechnical Conference (MELECON).

[6]  Americo Cunha,et al.  Control of chaos via OGY method on a bistable energy harvester , 2019, Proceedings of the 25th International Congress of Mechanical Engineering.

[7]  Elaine B. Barker,et al.  A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications , 2000 .

[8]  Mojtaba Chavooshi Zade Control the Chaotic Rikitake System by PID Controller , 2015 .

[9]  Frede Blaabjerg,et al.  Availability Modeling in Power Converters Considering Components Aging , 2020, IEEE Transactions on Energy Conversion.

[10]  Sundarapandian Vaidyanathan,et al.  Advances in Chaos Theory and Intelligent Control , 2016, Advances in Chaos Theory and Intelligent Control.

[11]  Kanika Lakhani,et al.  Implementing digital signature with RSA encryption algorithm to enhance the Data Security of cloud in Cloud Computing , 2010, 2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010).

[12]  Saeed Khorashadizadeh,et al.  Chaos synchronization using higher-order adaptive PID controller , 2018 .

[13]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[14]  Hussain AL-Ziarjawey Heart Rate Monitoring and PQRST Detection Based on Graphical User Interface with Matlab , 2015 .

[15]  Manisha Sharma,et al.  Design and development of daughter board for USB-UART communication between Raspberry Pi and PC , 2015, International Conference on Computing, Communication & Automation.

[16]  Hsin-Chieh Chen,et al.  EP-based PID control design for chaotic synchronization with application in secure communication , 2008, Expert Syst. Appl..

[17]  Xiaofeng Liao,et al.  Image encryption using 2D Hénon-Sine map and DNA approach , 2018, Signal Process..

[18]  Harald Haas,et al.  Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.

[19]  Wadii Boulila,et al.  Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution , 2020, IEEE Access.

[20]  Muhammad Imran,et al.  Image classification of radar spectograms of human motion using machine and deep learning algorithms , 2020 .

[21]  Nikolay V. Kuznetsov,et al.  On differences and similarities in the analysis of Lorenz, Chen, and Lu systems , 2014, Appl. Math. Comput..