def AES_encrypt(data="這是測試用的訊息"):
# s = time.time()
# 初始化加密資料
temp_Um = copy.deepcopy(Um)
key = copy.deepcopy(X[0])
aes = AEScharp()
try:
dict1 = json.loads(request.get_data())
data = dict1['data']
use_key = hashlib.sha256(dict1['key'].encode('utf-8')).digest()
use_key = list(use_key)
for i in range(32):
temp_Um[i] = round(temp_Um[i] + use_key[i], 7)
# print(temp_Um)
except:
pass
# 加密資料
sendData = aes.encrypt(data, key)
global testEN
testEN = sendData
# json 黨製作
sendData = {'encrypt_text': str(sendData), 'Um': str(temp_Um)}
# e = time.time()
# print(e - s)
return json.dumps(sendData)
def decrypt():
# 初始化解碼資料
# s = time.time()
try:
# 嘗試
dict1 = json.loads(request.get_data())
data = dict1['data']
data = eval(data)
temp_Um = dict1['Um']
temp_Um = temp_Um[1:-1].split(", ")
use_key = hashlib.sha256(dict1['key'].encode('utf-8')).digest()
use_key = list(use_key)
# 加密Um
for i in range(len(temp_Um)):
use_key[i] = float(use_key[i])
temp_Um[i] = float(temp_Um[i])
temp_Um[i] -= use_key[i]
except:
print("has error")
pass
# print(len(data))
# 開始同步
async_flag = False # 同步旗標
times = 0 # 同步失敗次數
while async_flag is False:
Y = [random.random(), random.random(), random.random()]
client = Chaos()
chck = 0
for i in range(len(temp_Um) - 1, -1, -1):
Y = client.runSlave(2, Y, temp_Um[i])
if i == 1:
chck = client.createUs(Y)
# 判斷有沒有同步
if round(temp_Um[0] + chck, 6):
# print(temp_X, Y[0], client.createUs(Y), temp_Um[0] + chck)
async_flag = False
if times > 12:
break
times += 1
print(round(temp_Um[0] + chck, 6))
else:
async_flag = True
# 解密
aes = AEScharp()
getData = aes.decrypt(data, Y[0])
# json 檔製作
getData = {'decrypt_text': str(getData), 'flag': str(async_flag)}
# e = time.time()
# print(e - s)
return json.dumps(getData)
def de_json(self, msg):
aes = AEScharp()
msg = bytes.fromhex(msg)
msg = aes.de_ECB(msg, self.key)
if self.DEBUG == 1:
print("未處理前: ", msg)
msg = msg[:msg.find('\x00')] # 除掉\x00
if msg[-1] != "}": # 有些}會不見 處理回來
msg += "}"
if self.DEBUG == 1:
print("處理後: ", msg)
msg = eval(msg)
return msg
def c(msg):
print("資料來源端:")
print("密文: ", msg)
print(type(msg))
aes = AEScharp()
key = Y
print("現在端口的key", key.hex())
# 將STR 換成 BIN
msg = bytes.fromhex(msg)
print("現在端口轉換完MSG(整串)", msg, "長度:", len(msg))
msg = aes.de_ECB(msg, key)
print("結果:")
a = "{\"_target\":\"456\",\"_key\":\"123\"}"
print(msg.find('\x00'), msg[:msg.find('\x00')])
msg = msg[:msg.find('\x00')]
msg = eval(msg)
print(type(msg), msg)
import cv2
import numpy as np
from matplotlib import pyplot
import math
from AESmod import AEScharp
aes = AEScharp()
if __name__ == "__main__":
cam = cv2.VideoCapture(0)
# for i in range(200):
(ret, img) = cam.read()
print(img.shape)
# result, imgencode = cv2.imencode('.png', img) # 圖片編碼
# stringData = imgencode.tostring() # 轉成bytes
# print("標頭: ", stringData[stringData.find(b'IDATx\x01\xec\xc1'):stringData.find(b'IDATx\x01\xec\xc1') + 20])
# head = stringData[:stringData.find(b'IDATx\x01\xec\xc1') + 8]
# print("標尾: ", stringData[stringData.find(b'IEND') - 4:])
# tail = stringData[stringData.find(b'IEND') - 4:]
# e_sss = aes.encrypt_ECB_by(stringData[stringData.find(b'IDATx\x01\xec\xc1') + 8:stringData.find(b'IEND') - 4], "1")
# en_img = head + e_sss + tail
# d_sss = aes.decrypt_ECB_by(e_sss, '1').rstrip()
# de_img = head + d_sss + tail
# # print(stringData == de_img)
# # en_img = head + e_sss[:len(stringData) - len(en_img)] + tail
import cv2
import numpy as np
from matplotlib import pyplot
from AESmod import AEScharp
import math
aes = AEScharp()
# 取像素點跟臨近像素值 [(choose=0,水平),(choose=1,垂直),(choose=2,對角)]
def Correlation_of_adjacent_pixels(img, choose, n):
(w, h, a) = img.shape
if n > w * h:
raise BaseException("取樣點數量大於圖片本身數量")
else:
hist = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 轉灰階
# 取n筆隨機取樣點
x_coor = list(np.random.randint(low=0, high=w - 1, size=n))
y_coor = list(np.random.randint(low=0, high=h - 1, size=n))
img_o = []
img_n = []
if choose == 0: # 水平取樣
for i in range(n):
img_o.append(hist[y_coor[i]][x_coor[i]])
img_n.append(hist[y_coor[i]][x_coor[i] + 1])
return img_o, img_n
elif choose == 1: # 垂直取樣
for i in range(n):
import cv2
import numpy as np
from matplotlib import pyplot
import math
from AESmod import AEScharp
import time
import multiprocessing
from functools import reduce
aes = AEScharp()
def en_cbc(data, key):
_16BitList = []
en_data = b''
num = 16 #定义每组包含的元素个数
for i in range(0, len(data), num):
_16BitList.append(data[i:i + num])
t = 0
for i in _16BitList:
en_data += aes.encrypt_ECB_by(i, t)
t += 1
# print(len(en_data))
return en_data
if __name__ == "__main__":
def encrypt(self):
aes = AEScharp()
self.getData = aes.encrypt_ECB(self.data, round(self.key, 4)).hex()
def decrypt(self):
aes = AEScharp()
self.getData = aes.decrypt_ECB(self.data, round(self.Y[0], 4))
def en_json(self, msg):
aes = AEScharp()
msg = aes.en_ECB(str(msg).encode('utf8'), self.key).hex()
return msg