  In this paper, we propose a known-plaintext attack (KPA) method based on deep
learning for traditional chaotic encryption scheme. We employ the convolutional
neural network to learn the operation mechanism of chaotic cryptosystem, and
accept the trained network as the final decryption system. To evaluate the
attack performance of different networks on different chaotic cryptosystem, we
adopt two neural networks to perform known-plaintext attacks on two distinct
chaotic encryption schemes. The experimental results demonstrate the potential
of deep learning-based method for known-plaintext attack against chaotic
cryptosystem. Different from the previous known-plaintext attack methods, which
were usually limited to a specific chaotic cryptosystem, a neural network can
be applied to the cryptanalysis of various chaotic cryptosystems with deep
learning-based approach, while several different networks can be designed for
the cryptanalysis of chaotic cryptosystems. This paper provides a new idea for
the cryptanalysis of chaotic image encryption algorithm.
