Abstract
In this paper, a new steganalysis technique is proposed to detect the motion vector based steganography for the compressed videos. The proposed scheme explores the flickering effect, the changes in the prediction error and statistical anomalies in the motion vectors due to embedding to detect the presence of steganographic messages. The experimental results show that the proposed method effectively detects the data embedded in motion vector based steganographic techniques more accurately than the already existing schemes.
| Language | English |
|---|---|
| Pages | 10479-10494 |
| Number of pages | 16 |
| Journal | Multimedia Tools and Applications |
| Volume | 74 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - Dec 2015 |
Fingerprint
Keywords
- motion vector
- steganalysis
- video steganography
- compressed videos
- flickering effect
Cite this
}
Detection of motion vector based video steganography. / Sur, Arijit; Krishna, Sista Venkat Madhav; Sahu, Nilkanta; Rana, Shuvendu.
In: Multimedia Tools and Applications, Vol. 74, No. 23, 12.2015, p. 10479-10494.Research output: Contribution to journal › Article
TY - JOUR
T1 - Detection of motion vector based video steganography
AU - Sur, Arijit
AU - Krishna, Sista Venkat Madhav
AU - Sahu, Nilkanta
AU - Rana, Shuvendu
PY - 2015/12
Y1 - 2015/12
N2 - In this paper, a new steganalysis technique is proposed to detect the motion vector based steganography for the compressed videos. The proposed scheme explores the flickering effect, the changes in the prediction error and statistical anomalies in the motion vectors due to embedding to detect the presence of steganographic messages. The experimental results show that the proposed method effectively detects the data embedded in motion vector based steganographic techniques more accurately than the already existing schemes.
AB - In this paper, a new steganalysis technique is proposed to detect the motion vector based steganography for the compressed videos. The proposed scheme explores the flickering effect, the changes in the prediction error and statistical anomalies in the motion vectors due to embedding to detect the presence of steganographic messages. The experimental results show that the proposed method effectively detects the data embedded in motion vector based steganographic techniques more accurately than the already existing schemes.
KW - motion vector
KW - steganalysis
KW - video steganography
KW - compressed videos
KW - flickering effect
UR - http://www.scopus.com/inward/record.url?scp=84951899743&partnerID=8YFLogxK
U2 - 10.1007/s11042-014-2181-1
DO - 10.1007/s11042-014-2181-1
M3 - Article
VL - 74
SP - 10479
EP - 10494
JO - Multimedia Tools and Applications
T2 - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
SN - 1380-7501
IS - 23
ER -