Information Technology Reference
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We realize experiments of steganalysis attack to measure the robust-
ness capabilities of several steganographic algorithms using the well-
known image quality measures (IQM) steganalysis [4, 5, 8, 9]. The IQM
steganalysis technique provides good results across all steganographic al-
gorithms (i.e., spread-spectrum, quantization modulation, LSB, etc.) [4, 5,
8, 9]. In this technique, it has been observed that fi ltering an image without
embedded data causes changes in the IQMs less than the changes brought
about on embedded images [8, 13]. The IQMs used to compare differ-
ent methods are the mean square error (MSE), the Czekanowski distance
(CD), the angular correlation (AC), the image fi delity (IF), the normal-
ized cross-correlation (NCC), the spectral magnitude distortion (SMD),
the median of block spectral phase (MBSP), the median of weighted block
spectral distortion (MWBSD), and the normalized mean square HVS error
(NMSHVSE) [4, 8, 9]. We obtain the performance of different stegano-
graphic algorithms, using the condition IQMcover ≥ IQMstego means that
the image contains the hidden data, otherwise, it does not [8].
Table (4.5) shows the total detection of the hidden data using the re-
sults of IQMs steganalysis for the cover image “Mandrill” and its fi ltered
version and the stego-image “Mandrill” with the secret image “Lena” and
its fi ltered version [8]. Comparing the steganalysis results with the image
quality of the stego-images and the hiding capacity of the methods, we
comment that the proposed CLCES methods [8] outperform other meth-
ods by balancing the image quality and the embedding capacity providing
a better security against attacks of steganalyzers in comparison with the
other methods [8].
TABLE 4.5
Total detection of the hidden data using the image quality measures (IQM)
steganalysis
stego-image “Mandrill” (secret image “Lena”)
RGB
Algorithms
YCbCr
HSV
LSB
4/9
2/9
4/9
WLSB
4/9
3/9
5/9
CLCES (
βs
1
)
3/9
3/9
2/9
CLCES (
βs
2
)
3/9
3/9
2/9
CLCES (
T
1
,
βs
1
)
3/9
2/9
2/9
CLCES (
T
1
,
βs
2
)
3/9
2/9
2/9
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