sealwatch¶
sealwatch is a Python package, containing implementations of modern image steganalysis algorithms.
Note
This project is under active development.
Catching steganography has never been easier!
>>> # load suspicious image
>>> import numpy as np
>>> from PIL import Image
>>> img = np.array(Image.open("suspicious.png"))
>>>
>>> # apply WS steganalysis
>>> import sealwatch as sw
>>> beta_hat = sw.ws.attack(img) # estimate change rate
>>> print(beta_hat > 0.)
>>> # load suspicious image
>>> import jpeglib
>>> jpeg1 = jpeglib.read_dct("suspicious.jpeg")
>>>
>>> # extract JRM features
>>> features = sw.ccjrm.extract(y1=jpeg1.Y, qt=jpeg1.qt[0])
>>> model = pickle.load(open('model.pickle', 'rb')) # load trained FLD
>>> y_hat = model.predict(features[None]) # predict cover/stego label
>>> assert y_hat != 1
Type |
Algorithms |
|---|---|
Analytical attacks |
chi2, F5, SPA, WS, RJCA |
Features |
CRM, cc-JRM, HCF-COM, JRM, DCTR, PHARM, GFR, SPAM, SRM |
Detectors |
ensemble of FLD |
