JOURNAL ARTICLE

Using Chaotic Stream Cipher to Enhance Data Hiding in Digital Images

Sana’ Haimour

Year: 2020 Journal:   International Journal of Advanced Trends in Computer Science and Engineering Vol: 9 (4)Pages: , 5236-5242   Publisher: The World Academy of Research in Science and Engineering

Abstract

The growing potential of modern communications needs the use of secure means to protect information from unauthorized access and use during transmission. In general, encryption a message using cryptography techniques and then hidden a message with a steganography methods provides an additional layer of protection. Furthermore, using these combination reduces the chance of finding the hidden message. This paper proposed a system which combines schemes of cryptography with steganography for hiding secret messages and to add more complexity for steganography. The proposed system secret message encoded with chaotic stream cipher and afterwards the encoded data is hidden behind an RGB or Gray cover image by modifying the kth least significant bits (k-LSB) of cover image pixels. The resultant stego-image less distorters. After which can be used by the recipient to extract that bit-plane of the image. In fact, the schemes of encryption/decryption and embedding/ extracting in the proposed system depends upon two shred secret keys between the sender and the receiver. An experiment shows that using an unauthorized secret keys between the sender and the receiver have totally different messages from the original ones which improve the confidentiality of the images.

Keywords:

Metrics

1
Cited By
0.10
FWCI (Field Weighted Citation Impact)
7
Refs
0.40
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Chaos-based Image/Signal Encryption
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Media Forensic Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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