Quantized Gaussian Embedding Steganography
Title | Quantized Gaussian Embedding Steganography |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Sharifzadeh, Mehdi, Aloraini, Mohammed, Schonfeld, Dan |
Conference Name | ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
ISBN Number | 978-1-4799-8131-1 |
Keywords | composability, cost-based steganography, detection error, Detectors, distortion, gaussian distribution, Gaussian embedding, Gaussian embedding method, Gaussian processes, generalized adopted statistical model, hypothesis testing, image processing, Image Steganography, Mathematical model, Metrics, multivariate Gaussian random variables, optimal detector, Payloads, privacy, pubcrawl, quantized Gaussian embedding steganography, Random variables, statistical analysis, statistical framework, steganography, steganography detection, stego messages, Testing, universal embedding scheme, variance estimators |
Abstract | In this paper, we develop a statistical framework for image steganography in which the cover and stego messages are modeled as multivariate Gaussian random variables. By minimizing the detection error of an optimal detector within the generalized adopted statistical model, we propose a novel Gaussian embedding method. Furthermore, we extend the formulation to cost-based steganography, resulting in a universal embedding scheme that works with embedding costs as well as variance estimators. Experimental results show that the proposed approach avoids embedding in smooth regions and significantly improves the security of the state-of-the-art methods, such as HILL, MiPOD, and S-UNIWARD. |
URL | https://ieeexplore.ieee.org/document/8682757 |
DOI | 10.1109/ICASSP.2019.8682757 |
Citation Key | sharifzadeh_quantized_2019 |
- multivariate Gaussian random variables
- variance estimators
- universal embedding scheme
- testing
- stego messages
- steganography detection
- Steganography
- statistical framework
- statistical analysis
- Random variables
- quantized Gaussian embedding steganography
- pubcrawl
- privacy
- Payloads
- optimal detector
- composability
- Metrics
- Mathematical model
- Image Steganography
- Image Processing
- Hypothesis testing
- generalized adopted statistical model
- Gaussian processes
- Gaussian embedding method
- Gaussian embedding
- gaussian distribution
- distortion
- Detectors
- detection error
- cost-based steganography