数学之路(3)-信息隐藏(1)

python通过声音将文件内容隐藏，实现原理是将文件的内容分别插入到声音文件的不同位置中做为当次采样的数据，目前是对英文文本文档加解密

#!/usr/bin/env python  # -*- coding: utf-8 -*-#http://blog.csdn.net/myhaspl  #code:[e-mail] #将文件隐藏在声音之中import waveimport pylab as plimport numpy as npprint 'http://blog.csdn.net/myhaspl'  print '[e-mail]'  print    print 'working...' #编码print u'正在将文件编码进声音'print "generate wav data...."# 打开文档fo = wave.open(r"pltest.wav", "wb") file_object = open('test.txt')try:     all_the_text = file_object.read( )finally:     file_object.close( )wdata=map(ord,all_the_text)wdata=np.array(wdata)lwdata=len(wdata)# 设置波形参数#采样率framerate = 44100#声道数nchannels=2#每位宽度sampwidth=2#长度nframes =framerate*4#振幅base_amplitude = 200max_amplitude=128*base_amplitude#每个字符的间隔次数interval=(nframes-10)/lwdata#每周期样本数wave_data=np.zeros((nframes), dtype=np.short)count=0myrand=np.random.rand(nframes)for curpos in xrange(0,nframes):    if curpos % interval==0 and count<lwdata:        possamp=wdata[count]*base_amplitude-64*base_amplitude              count+=1           elif curpos%60==0:        possamp=int(myrand[curpos]*max_amplitude-max_amplitude/2)    else:        possamp=0    wave_data[curpos]=possamp#写波形数据参数print "save new wav files...."str_data=wave_data.tostring()fo.setnchannels(nchannels)fo.setframerate(framerate)fo.setsampwidth(sampwidth)fo.setnframes(nframes)fo.writeframes(str_data)fo.close()    # 绘制波形wave_data.shape = -1, 2wave_data = wave_data.Ttime = np.arange(0, nframes/2)pl.subplot(211)pl.plot(time, wave_data[0], c="r")pl.subplot(212)pl.plot(time, wave_data[1], c="g")pl.xlabel("time (seconds)")#解码new_wdata=[]print u'正在从声音解码文件'fi = wave.open(r"pltest.wav", "rb")  fi_params=fi.getparams()  fi_nframes = fi_params[3]  fi_str_data=fi.readframes(fi_nframes) fi_wave_data= np.fromstring(fi_str_data, dtype=np.short)count=0for curpos in xrange(0,nframes):    if curpos % interval==0 and count<lwdata:        possamp=(fi_wave_data[curpos]+64*base_amplitude)/base_amplitude        new_wdata.append(possamp)        count+=1 my_the_text="".join(map(chr,new_wdata))file_object = open('mytext.txt', 'w')file_object.write(my_the_text)file_object.close( )

本博客所有内容是原创，未经书面许可，严禁任何形式的转载

http://blog.csdn.net/u010255642

>>> runfile(r'K:\book_prog\audio_hy.py', wdir=r'K:\book_prog')
http://blog.csdn.net/myhaspl
[e-mail]


working...
正在将文件编码进声音
generate wav data....
save new wav files....
正在从声音解码文件
>>> 

上图是对一段python代码文件的加密后形成的声音波形，加密的python代码文件内容如下：

#!/usr/bin/env python
#-*- coding: utf-8 -*-
#code:[e-mail]
import cv2
import numpy as np




fn="test1.jpg"
print 'http://blog.csdn.net/myhaspl'
print '[e-mail]'
print
print 'loading %s ...' % fn
print 'working',
img = cv2.imread(fn)
w=img.shape[1]
h=img.shape[0]
sz1=w
sz0=h
EVENTS = ['CV_EVENT_MOUSEMOVE', 'CV_EVENT_LBUTTONDOWN', 'CV_EVENT_RBUTTONDOWN',  'CV_EVENT_MBUTTONDOWN',  'CV_EVENT_LBUTTONUP',
          'CV_EVENT_RBUTTONUP', 'CV_EVENT_MBUTTONUP'  , 'CV_EVENT_LBUTTONDBLCLK','CV_EVENT_RBUTTONDBLCLK','CV_EVENT_MBUTTONDBLCLK']


def callback_function(event,x,y,flag,param):
        global EVENTS
        global img
        
        if EVENTS[event]=='CV_EVENT_LBUTTONDOWN':
                print "(%d,%d):"%(y,x)
                print img[y,x,:]
                cv2.imshow('img', img) 


           
        return
def getdistance(color1,color2):
    return np.sqrt(sum((color1-color2)*(color1-color2)))






cv2.namedWindow('img')     
cv2.setMouseCallback('img', callback_function)
cv2.imshow('img', img)     
cv2.waitKey()  
cv2.destroyAllWindows()