Year: 2025
Type: article
Abstract: Steganography and visual cryptography are essen- tial techniques in secure digital communication, allowing for covert information exchange and secure data transmission. This paper explores various steganographic methods, with a focus on image steganography, including Least Significant Bit (LSB) substitution, transform domain approaches, and advanced meth- ods such as Spread Spectrum and Patchwork steganography. Additionally, the study examines visual cryptography (VC), which enables image encryption through secret sharing techniques. The effectiveness of different steganographic approaches is analyzed based on criteria such as invisibility, payload capacity, robustness, and resistance to detection. Comparative studies on stegano- graphic techniques in different image formats (BMP, GIF, JPEG) highlight their strengths and limitations. Furthermore, emerging research integrating steganography with deep learning and real- time encryption standards is discussed. The paper also reviews steganalysis techniques used for detecting hidden information, emphasizing the ongoing challenge of developing robust and generalizable detection methods. The findings contribute to the advancement of secure data hiding techniques, addressing the evolving demands of cybersecurity and covert communication in the digital era.
DOI: 10.55041/ijsrem44009
Authors: Akhina PV, Sreelakshmi suresh, Deepnitha Ramachandran, Ms. Mafnitha KK, Saniya Sudhan
Institution: Vimal Jyothi Engineering College
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409215550