November 2019
Intermediate to advanced
346 pages
9h 36m
English
We start this recipe by creating a large dataset of LSB steganography container images using the software known as Aletheia (step 1). Aletheia offers a wide array of functionality. Run the following command with no arguments:
$ ./aletheia.py
The preceding command prints out the following information about aletheia:
./aletheia.py <command>COMMANDS:Attacks to LSB replacement:- spa: Sample Pairs Analysis.- rs: RS attack.ML-based detectors:- esvm-predict: Predict using eSVM.- e4s-predict: Predict using EC.Feature extractors:- srm: Full Spatial Rich Models.- hill-maxsrm: Selection-Channel-Aware Spatial Rich Models for HILL.- srmq1: Spatial Rich Models with fixed quantization q=1c.- scrmq1: Spatial Color Rich Models with fixed quantization ...