Digital Information Transmission using Discrete Chaotic Signal
Applications for Encryption
https://doi.org/10.4018/978-1-61520-737-4.CH019Abstract
In this work the authors thoroughly investigated a digital information transmission system using discrete chaotic signal over cable. As an example in their work the authors consider the non-autonomous 2 nd order non-linear oscillator system presented in Tamaševičious, Čenys, Mycolaitis, and Namajunas (1998) which is particularly suitable for digital communications and present the experimental results regarding synchronization. The effect of noise (internal or external) on the synchronization of the driveresponse system (unidirectional coupling between two identical systems) is analyzed and since in every practical implementation of a communication system, the transmitter and receiver circuits (although identical) operate under slightly different conditions the case of the mismatch between the parameters of the transmitter and the receiver is considered. Moreover, there is a study of the robustness of the system with reference to the desired security, proposing a more sophisticated approach, which combines the simplicity in the implementation of a chaotic system with an enhanced encoding scheme that will overall increase security.
FAQs
AI
What role does chaotic signaling play in enhancing communication security?
The study reveals that chaotic signaling can significantly enhance communication security by creating non-predictable sequences, thus reducing interception chances. For instance, different initial conditions lead to drastically varied chaotic outputs, making unauthorized replication challenging.
How does discrete chaotic signal transmission compare to traditional spread spectrum systems?
The findings indicate that discrete chaotic signal transmission is simpler and more efficient than traditional spread spectrum systems. Specifically, this reliance on circuit engineering reduces complexity while maintaining high security through noise-like characteristics.
What synchronization challenges arise under noisy channel conditions in chaotic systems?
The research highlights that synchronization between transmitter and receiver can be critically affected by internal noise levels. Variations in noise at different stages necessitate robust synchronization protocols to ensure reliable signal recovery.
What experimental methods were used to assess system robustness and security?
The experimentation involved implementing a chaotic transmitter-receiver setup under varying noise conditions and measuring synchronization accuracy. Results showcased the system's resilience, particularly when applying a sophisticated encoding scheme alongside chaotic transmission.
When was chaotic communication theory introduced and what are its applications?
Chaotic communication theory emerged in the early 1990s and has since found applications in secure data transmission and radar systems. Its non-linear dynamics pave the way for innovations in both civilian and military communication technologies.