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Steganalysis

Definition

The forensic discipline of detecting the presence of hidden data in a carrier file. Steganalysis uses statistical tests (chi-squared, RS analysis, sample pair analysis) and machine-learning classifiers trained on clean and stego media.

Related terms

Blind Steganalysis
Detection without prior knowledge of the embedding algorithm. A classifier trained on images with and without payloads generalises across multiple tools.
Cover Medium
The original, unmodified carrier file (image, audio, video, or document) into which secret data will be embedded. The cover medium is chosen...
DCT Coefficient Embedding
A steganographic technique that hides data in the quantised discrete cosine transform coefficients of a JPEG image after compression. Because the embedding...
Embedding Rate
The payload size divided by the carrier capacity, usually expressed as bits per pixel. Detection difficulty decreases sharply at low embedding rates...
False Positive Rate (FPR)
The proportion of true non-matches (or true negatives) that a classification method declares as matches (or positives). Also called the type I...
LSB Substitution
Least-significant-bit substitution: the lowest-order bit of each sample value (pixel colour channel or audio sample) is overwritten with one bit of the...
Rich Model Steganalysis (SRM)
A feature-extraction approach that computes hundreds of statistical features from pixel-residual co-occurrence matrices and feeds them to an ensemble classifier such as...
Spread-Spectrum Embedding
A technique that distributes the energy of the hidden message across many frequency components at very low amplitude, similar to a wideband...
Stego Object
The modified carrier file containing the embedded secret data. A stego object should be visually or audibly indistinguishable from the cover medium,...
Targeted Steganalysis
Detection methods designed against a specific steganography tool or algorithm. Effective when the tool is known but fails against novel or unknown...

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