A secure steganography algorithm using compressive sensing based on HVS feature
| Title | A secure steganography algorithm using compressive sensing based on HVS feature |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Shafee, S., Rajaei, B. |
| Conference Name | 2017 Seventh International Conference on Emerging Security Technologies (EST) |
| ISBN Number | 978-1-5386-4018-0 |
| Keywords | BCR, Bit Correction Rate, carrier object, Collaboration, composability, compressed sensing, compressive sensing, compressive sensing technology, cryptography, data encapsulation, data mining, digital image, discrete cosine transforms, Human Behavior, human factors, human visual system features, HVS, HVS feature, Image coding, Metrics, Policy-Governed Secure Collaboration, pubcrawl, Resiliency, Robustness, Scalability, science of security, secret messages, secure steganography algorithm, security, Sparse matrices, steganographic technology, steganography, stego image, stego object, Subsampling, Visual systems |
| Abstract | Steganography is the science of hiding information to send secret messages using the carrier object known as stego object. Steganographic technology is based on three principles including security, robustness and capacity. In this paper, we present a digital image hidden by using the compressive sensing technology to increase security of stego image based on human visual system features. The results represent which our proposed method provides higher security in comparison with the other presented methods. Bit Correction Rate between original secret message and extracted message is used to show the accuracy of this method. |
| URL | https://ieeexplore.ieee.org/document/8090402/ |
| DOI | 10.1109/EST.2017.8090402 |
| Citation Key | shafee_secure_2017 |
- secure steganography algorithm
- Metrics
- Policy-Governed Secure Collaboration
- pubcrawl
- Resiliency
- Robustness
- Scalability
- Science of Security
- secret messages
- Image coding
- security
- Sparse matrices
- steganographic technology
- Steganography
- stego image
- stego object
- Subsampling
- Visual systems
- data encapsulation
- Bit Correction Rate
- carrier object
- collaboration
- composability
- compressed sensing
- compressive sensing
- compressive sensing technology
- Cryptography
- BCR
- Data mining
- digital image
- discrete cosine transforms
- Human behavior
- Human Factors
- human visual system features
- HVS
- HVS feature