Abstract

A new algorithm is presented in this paper by combining the true random sequences and the Tree Parity Machine (TPM), which is proven experimentally. Different from common method, true random sequences are proposed as dynamic inputs of TPM in this work compared to the pseudo-random sequences in the latest report. Therefore, several weaknesses of pseudo-random sequences can be overcome including finite precision effect, short cycle effect, and the dynamical property degradation. True random sequences are generated by artificial circuits, then, going through TPM neural networks. A series of key stream can be generated by the operation of XOR (exclusive OR) in the output of the TPMs. Randomness test shows that the final key stream can pass 15 tests proscribed by the National Institute of Standards and Technology (NIST). It was used in image encryption in the end, which demonstrates the improved randomness and gives a very promising prospect in secret communications.

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