Abstract
Least Significant Bit (LSB) insertion method is a popular type of steganographic algorithms in spatial domain. Nevertheless, in this approach essential measures should be considered to enhance the both visual quality and security properties. ConText is a revised version of LSB method to hide secret information in image carrier with enhanced visual imperceptibility. This paper introduces a novel algorithm based on ConText, called the Modified ConText (MCT). The proposed algorithm is based on using a threshold level to compare pixels in a sub-block which leads to faster and power efficient implementation. We strengthen the ConText algorithm which can embed data in a more noisy-like area to increase security and visual quality. Moreover, a high-speed hardware implementation of the MCT algorithm is also presented by employing faster comparisons. In addition to assigning threshold value that can lead to a more efficient architecture, the pre-computation low-power technique is also employed to reduce power consumption. The proposed architecture is synthesized by the ISE tool and implemented on a Spartan-3 FPGA device. The results imply that the proposed architecture outperforms the system frequency, the usage of FPGA resources, and power consumption by approximately 7%, 30%, and 64%, respectively.
Original language | English |
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Title of host publication | 2017 19th International Symposium on Computer Architecture and Digital Systems, CADS 2017 |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781538643792 |
DOIs | |
Publication status | Published - 8 Mar 2018 |
Event | 19th International Symposium on Computer Architecture and Digital Systems, CADS 2017 - Kish Island, Iran, Islamic Republic of Duration: 21 Dec 2017 → 22 Dec 2017 Conference number: 19 |
Conference
Conference | 19th International Symposium on Computer Architecture and Digital Systems, CADS 2017 |
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Abbreviated title | CADS 2017 |
Country/Territory | Iran, Islamic Republic of |
City | Kish Island |
Period | 21/12/17 → 22/12/17 |
Keywords
- FPGA-based implementation
- Low-power design
- LSB insertion
- Pre-computation technique
- Steganography