An image encryption method based on four-dimensional Chen's hyperchaotic system and k-means clustering
A technology of k-means clustering and encryption method, which is applied in the field of image processing, can solve problems such as encryption security improvement, secret key deciphering, high space-time complexity, etc., to achieve the goal of improving resistance, encryption security, and execution efficiency Effect
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[0095] (1) US NIST statistical test. Utilize the common standard US NIST statistical test group to pseudo-random binary sequence B={b 1 ,b 2 ,b 3 ,...,b 4L-1 ,b 4L} for randomness testing. Let sequence length L=1000000, significant level α=0.01, Table 1 lists the statistical test results. It can be seen that sequence B passes all the statistical tests well, indicating that it has good pseudo-random performance.
[0096] Table 1 NIST statistical test results for binary sequence B
[0097]
[0098] (2) Secret key sensitivity experiment. Set the secret key to x 0 =-0.1,y 0 =0.1,z 0 =-0.1,w 0 =0.1, for the plaintext image Lena( figure 2 a) Encrypt to get the ciphertext image ( figure 2 b). Then use two sets of secret keys to decrypt the ciphertext image. Among them, the first group is the original secret key, and the second group is the x in the original secret key 0 Perform a 10- 14 A small disturbance of the level, that is, x 0 =-0.1+10 14 . figure 2 a ...
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