Open AccessSteganalysis for LSB inserts in low stego-payload artificial color images
Author(s) -
D. E. Vilkhovskiy
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2182/1/012102
Subject(s) - steganalysis , steganography , least significant bit , payload (computing) , artificial intelligence , computer science , pixel , rectangle , computer vision , pattern recognition (psychology) , filter (signal processing) , mathematics , embedding , network packet , computer network , geometry , operating system
In this study a new method of steganalysis is presented for detecting and locating a hidden message embedded using LSB replacement as a steganography algorithm. The method is applied for analysing artificial color images of a gradient fill and shows high detection and locating accuracy in low stego-payload of 25 to 10 percentage. The method is based on analysing pixel combinations of an LSB map to classify unique and non-unique pixel combinations and finding the largest rectangle algorithm for, respectively, detecting and locating purposes. To exclude noisy data from further consideration, a pre-processing filter is developed and presented.