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Lightweight and Optimized Multi-Layer Data Hiding using Video Steganography Paper
- Source :
- International Journal of Advanced Computer Science and Applications. 9
- Publication Year :
- 2018
- Publisher :
- The Science and Information Organization, 2018.
-
Abstract
- The ever-escalating attacks on the internet network are due to rapid technological growth. In order to surmount such challenges, multi-layer security algorithms were developed by hybridizing cryptography and steganography techniques. Consequently, the overall memory size became enormous while hybridizing these techniques. On the other side, the least significant bit (LSB) and modified LSB replacing approaches could provide the variability as detected by steganalysis technique, most found to be susceptible to attack too due to numerous reasons. To overcome these issues, in this paper a lightweight and optimized data hiding algorithm is proposed which consume less memory, provide less variability, and robust against histogram attacks. The proposed steganography system was achieved in two stages. First, data was encrypted using lightweight BORON cipher that only consumed less memory as compared to conventional algorithm such as 3DES, AES. Second, the encrypted data was hidden in the complemented or non-complemented form to obtain minimal variability. The performance of the proposed technique was evaluated in terms of avalanche effect, visual quality, embedding capacity and peak signal to noise ratio (PSNR). The results revealed that the lightweight BORON cipher could produce approximate same avalanche effect as the AES algorithm produced. Furthermore, the value of PSNR had shown much improvement in comparison to optimization algorithm GA.
- Subjects :
- Steganalysis
General Computer Science
Steganography
business.industry
Computer science
020207 software engineering
Cryptography
02 engineering and technology
Encryption
Least significant bit
Computer engineering
Cipher
Information hiding
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
Avalanche effect
Subjects
Details
- ISSN :
- 21565570 and 2158107X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- International Journal of Advanced Computer Science and Applications
- Accession number :
- edsair.doi...........a48979f4b220185f4dd45e1a913942e6