Image steganography techniques for resisting statistical steganalysis attacks: A systematic literature review.

ABSTRACT: Information hiding in images has gained popularity. As image steganography gains relevance, techniques for detecting hidden messages have emerged. Statistical steganalysis mechanisms detect the presence of hidden secret messages in images, rendering images a prime target for cyber-attacks. Also, studies examining image steganography techniques are limited. This paper aims to fill the existing gap in extant literature on image steganography schemes capable of resisting statistical steganalysis attacks, by providing a comprehensive systematic literature review. This will ensure image steganography researchers and data protection practitioners are updated on current trends in information security assurance mechanisms. The study sampled 125 articles from ACM Digital Library, IEEE Explore, Scie

SUBMITTER: Apau R 

PROVIDER: S-EPMC11404826 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature