TY - GEN
T1 - Steganalysis of QIM-based data hiding using kernel density estimation
AU - Malik, Hafiz
AU - Subbalakshmi, K. P.
AU - Chandramouli, Rajarathnam
PY - 2007
Y1 - 2007
N2 - This paper presents a novel steganalysis technique to attack quantization index modulation (QIM) steganography. Our method is based on the observation that QIM embedding disturbs neighborhood correlation in the transform domain. We estimate the probability density function (pdf) of this statistical change in a systematic manner using a kernel density estimate (KDE) method. The estimated parametric density model is then used for stego message detection. The impact of the choice of kernels on the estimated density is investigated experimentally. Simulation results evaluated on a large dataset of 6000 quantized images indicate that the proposed method is reliable. The impact of the choice of message embedding parameters on the accuracy of the steganalysis detection is also evaluated. Simulation results show that the proposed method can distinguish between the quantized-cover and the QIM-stego with low false alarm rates (i.e. Pfn0.03 and Pfp0.19). We demonstrate that the proposed steganalysis scheme can successfully attack steganographic tools like Jsteg and JP Hide and Seek as well.
AB - This paper presents a novel steganalysis technique to attack quantization index modulation (QIM) steganography. Our method is based on the observation that QIM embedding disturbs neighborhood correlation in the transform domain. We estimate the probability density function (pdf) of this statistical change in a systematic manner using a kernel density estimate (KDE) method. The estimated parametric density model is then used for stego message detection. The impact of the choice of kernels on the estimated density is investigated experimentally. Simulation results evaluated on a large dataset of 6000 quantized images indicate that the proposed method is reliable. The impact of the choice of message embedding parameters on the accuracy of the steganalysis detection is also evaluated. Simulation results show that the proposed method can distinguish between the quantized-cover and the QIM-stego with low false alarm rates (i.e. Pfn0.03 and Pfp0.19). We demonstrate that the proposed steganalysis scheme can successfully attack steganographic tools like Jsteg and JP Hide and Seek as well.
KW - Gamma density
KW - Kernel density estimation
KW - Mode
KW - Quantization index modulation
KW - Skewness
KW - Steganalysis
KW - Steganography
UR - http://www.scopus.com/inward/record.url?scp=38849105460&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38849105460&partnerID=8YFLogxK
U2 - 10.1145/1288869.1288890
DO - 10.1145/1288869.1288890
M3 - Conference contribution
AN - SCOPUS:38849105460
SN - 9781595938572
T3 - MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007
SP - 149
EP - 160
BT - MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007
T2 - MM and Sec'07 - 9th Multimedia and Security Workshop 2007
Y2 - 20 September 2007 through 21 September 2007
ER -