A Block-Permutation-Based Encryption Scheme with Independent Processing of RGB Components
November 17, 2020 ยท Declared Dead ยท ๐ IEICE Trans. Inf. Syst.
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Shoko Imaizumi, Hitoshi Kiya
arXiv ID
2011.08964
Category
cs.MM: Multimedia
Citations
20
Venue
IEICE Trans. Inf. Syst.
Last Checked
2 months ago
Abstract
This paper proposes a block-permutation-based encryption (BPBE) scheme for the encryption-then-compression (ETC) system that enhances the color scrambling. A BPBE image can be obtained through four processes, positional scrambling, block rotation/flip, negative-positive transformation, and color component shuffling, after dividing the original image into multiple blocks. The proposed scheme scrambles the R, G, and B components independently in positional scrambling, block rotation/flip, and negative-positive transformation, by assigning different keys to each color component. The conventional scheme considers the compression efficiency using JPEG and JPEG 2000, which need a color conversion before the compression process by default. Therefore, the conventional scheme scrambles the color components identically in each process. In contrast, the proposed scheme takes into account the RGB-based compression, such as JPEG-LS, and thus can increase the extent of the scrambling. The resilience against jigsaw puzzle solver (JPS) can consequently be increased owing to the wider color distribution of the BPBE image. Additionally, the key space for resilience against brute-force attacks has also been expanded exponentially. Furthermore, the proposed scheme can maintain the JPEG-LS compression efficiency compared to the conventional scheme. We confirm the effectiveness of the proposed scheme by experiments and analyses.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Multimedia
R.I.P.
๐ป
Ghosted
๐
๐
Old Age
Quality Assessment of In-the-Wild Videos
R.I.P.
๐ป
Ghosted
Viewport-Adaptive Navigable 360-Degree Video Delivery
R.I.P.
๐ป
Ghosted
A Comprehensive Survey on Cross-modal Retrieval
R.I.P.
๐ป
Ghosted
An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges
R.I.P.
๐ป
Ghosted
A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted