An image steganography algorithm via a compression and chaotic maps
Source abstract
Abstract
Steganography is widely recognized as an effective method for protecting information via digital media. This paper presents an innovative image steganography algorithm incorporating image compression, chaotic maps, and the least significant bit. The process begins with the compression of a confidential medical image using Huffman encoding. The compressed image then undergoes shuffling, facilitated by the chaotic logistic map. The bits from the shuffled image are discreetly embedded into randomly selected pixels of the cover image, guided by the chaotic piecewise smooth map. The resulting stego image is generated. Statistical analyses are applied to both the cover and stego images for evaluation. The proposed algorithm is compared against state-of-the-art algorithms, and the results demonstrate its superiority over existing methods.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Mathematics Department, Faculty of Science, Mansoura University 1 , Mansoura 35516, Egypt
Department of Statistics and Operations Research, College of Science, King Saud University 2 , P.O. Box 2455, Riyadh 11451, Saudi Arabia
Department of Computational Mathematics, Science, and Engineering (CMSE), College of Engineering, Michigan State University 3 , East Lansing, Michigan 48824, USA
Funding
King Saud University
References (18)
Show source-provided references
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