This document proposes a crypto-steganography scheme for embedding encrypted data into videos in an imperceptible manner. The scheme uses a block-based, saliency-driven approach to sparsely embed data into video frames based on the frame's information content and visual perception. This allows for lower computational complexity, maintains video quality, and makes the embedded data less susceptible to statistical and attention-based attacks while providing higher payload capacity than existing methods. The results show the proposed technique compares favorably to other steganography methods in terms of imperceptibility and security.

1. ADAPTIVE CRYPTO-STEGANOSYSTEM FOR
VIDEOS BASED ON INFORMATION CONTENT AND
VISUAL PERCEPTION
Paper ID: 224
Prerana Mukherjee*, Siddharth Srivastava*, Brejesh Lall*,
Saisha Asolkar**, Meera Pai**
* Indian Institute of Technology, Delhi.
** National Institute of Technology, Goa

2. OBJECTIVE
HIGH
INFO
LOW
INFO
Development of a block based
saliency driven ROBUST crypto-
steganography scheme in videos for
embedding encrypted secure data in
an imperceptible and intractable
manner.
IMPORTANCE
 Low computational complexity.
 Perceptual Quality of videos not
tampered.
 Sparse Embedding of data into
frames.
 Less susceptible to statistical
and saliency based attacks.
 Higher payload capacity.
APPLICATIONS
Covert Writing, Intelligence Services,
Forensics, Digital Watermarking,
Modern Printers
PROPOSED METHODOLOGY

3. FUTURE SCOPE
 Further processing on stego-videos can be done to prevent loss of secret information due to
compression if performed.
 To further improve intractability of information, transform domain models can be included.
RESULTS
Info Content MSE PSNR CWSSIM PH FSIMc
LOW 0.0498 63.0981 0.9993 0.381944 0.9735
MEDIUM 0.00004 91.8219 0.9998 0.027778 0.9939
HIGH 0.00023 84 1.0000 0.022569 0.9992
JSteg StegHide OpenPuff F5 Ours
80.5 ± 4.2 51 ± 6.4 65.2 ± 1.6 78.5 ± 3.1 49 ± 7.8
Table 1. Performance measures on original vs encoded stego frame.
Table 2. SVM Classification Performance using DCT features.