Abstract
Abstract
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.
Subject
General Physics and Astronomy
Reference10 articles.
1. Higher-order statistical steganalysis of palette images;Fridrich;Proc. of SPIE,2003
2. Steganalysis of additive noise modelable information hiding;Harmsen;Proc. of SPIE,2003
3. Detection of 1 ± LSB Steganography based on the Amplitude of Histogram Local Extrema;Cancelli,2008
4. Rich model for steganalysis of color images;Goljan,2014
5. Blind Steganalysis for JPEG Image using SVM and SVM-PSO Classifiers;Kumar;International Journal of Innovative Technology and Exploring Engineering (IJITEE),2019
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献