1. Text encryption using ECG signals with chaotic Logistic map
- Author
-
Ching-Kun Chen and Chun-Liang Lin
- Subjects
Theoretical computer science ,Biometrics ,business.industry ,Computer science ,Feature extraction ,Chaotic ,Cryptography ,Encryption ,computer.software_genre ,Secure communication ,Feature (machine learning) ,Data mining ,Logistic map ,business ,computer - Abstract
Security of information has become a popular subject during the last decades. Due to electrocardiogram (ECG) signals varying from person to person, it could be applied as a new tool for biometric recognition. This paper introduces an individual feature of ECG with Logistic map for cryptography. The encryption system utilizes a portable instrument (Heart Pal) to collect ECG signal from encryption person, then using an intelligent algorithm based on the Chaos theory to generate initial keys for Logistic map, so that the user needn't to set up the initial values of the chaotic function. Simulation results show that the proposed system is capable of encrypting text information for secure communication efficiently and securely.
- Published
- 2010