利用python实现混沌加密

ID:1029290 · 发表于 2022-5-24 16:20

以下代码使用python实现的复合混沌加密一张图片

import cv2
import math
import numpy as np
def int2bin8(x): # 整型转8位二进制
result="";
for i in range(8):
y=x&(1)
result+=str(y)
x=x>>1
return result[::-1]
def int2bin16(x): # 整型转8位二进制
result="";
for i in range(16):
y=x&(1)
result+=str(y)
x=x>>1
return result
def Encryption(img,j0,g0,x0,EncryptionImg):
x = img.shape[0]
y = img.shape[1]
c = img.shape[2]
g0 = int2bin16(g0)
for s in range(x):
for n in range(y):
for z in range(c):
m = int2bin8(img[s][n][z]) # 像素值转八位二进制
ans=""
print("ok")
for i in range(8):
ri=int(g0[-1]) # 取手摇密码机最后一位ri
qi=int(m[i])^ri # 与像素值异或得qi
xi = 1 - math.sqrt(abs(2 * x0 - 1)) # f1(x)混沌迭代
if qi==0: # 如果qi=0,则运用x0i+x1i=1;
xi=1-xi;
x0=xi # xi迭代
t=int(g0[0])^int(g0[12])^int(g0[15]) # 本源多项式x^15+x^3+1
g0=str(t)+g0[0:-1] # gi迭代
ci=math.floor(xi*(2**j0))%2 # 非线性转换算子
ans+=str(ci)
re=int(ans,2)
EncryptionImg[s][n][z]=re # 写入新图像
def Decryption(EncryptionImg, j0, g0, x0, DecryptionImg):
x = EncryptionImg.shape[0]
y = EncryptionImg.shape[1]
c = EncryptionImg.shape[2]
g0 = int2bin16(g0)
for s in range(x):
for n in range(y):
for z in range(c):
cc = int2bin8(img[s][n][z])
ans = ""
print("no")
for i in range(8):
xi = 1 - math.sqrt(abs(2 * x0 - 1))
x0 = xi
ssi = math.floor(xi * (2 ** j0)) % 2
qi=1-(ssi^int(cc[i]))
ri = int(g0[-1])
mi=ri^qi
t = int(g0[0]) ^ int(g0[12]) ^ int(g0[15])
g0 = str(t) + g0[0:-1]
ans += str(mi)
re = int(ans, 2)
DecryptionImg[s][n][z] = re
if __name__ == "__main__":
img = cv2.imread("D:/pycharmproject/network_security/2.bmp", 1) # 读取原始图像
cv2.imshow("img", img) # 显示原图
EncryptionImg = np.zeros(img.shape, np.uint8)
Encryption(img,10,30,0.123345,EncryptionImg) # 加密
cv2.imwrite("D:/pycharmproject/network_security/EncryptionImg2.bmp",EncryptionImg) # 保存
cv2.imshow("EncryptionImg", EncryptionImg) # 显示
img = cv2.imread("D:/pycharmproject/network_security/EncryptionImg2.bmp", 1) # 读取加密图像
DecryptionImg = np.zeros(img.shape, np.uint8)
Decryption(img, 10, 30, 0.123345, DecryptionImg) # 解密
cv2.imwrite("D:/pycharmproject/network_security/DecryptionImg2.bmp", DecryptionImg) # 保存
cv2.imshow("DecryptionImg ", DecryptionImg) # 显示
cv2.waitKey(0)

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利用python实现混沌加密

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