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Abstract
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This paper proposes a system for transmitting and
receiving encrypted state information via a communication
channel in the presence of noise and interference. The proposed
system uses a chaotic signal generated by a Lorentz oscillator to
encrypt the state information, which is then transmitted through
the communication channel. At the receiver end, the received
signal is decrypted using a similar key generated by a forced
Lorentz oscillator. The accurate determination of the force signal
is essential for synchronizing chaotic signals, and this paper
proposes the use of reinforcement deep learning agents to train
and determine the force signal. The proposed communication
scheme involves the use of a state estimator, a master chaotic
oscillator, two slave oscillators, and two RL agents. The proposed
system was simulated using MATLAB Simulink, and the results
show that the errors exhibit a repetitive nature, with low and high
values corresponding to the input signal. The proposed system
provides a reliable and secure system for transmitting sensitive
information over communication channels.
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