The attacker analyzes the embedded algorithm used to detect distinguishing statistical changes along with the length of the embedded data.

The attacker analyzes the embedded algorithm used to detect distinguishing statistical changes along with the length of the embedded data.

• A. Chi-square Attack
• B. Distinguishing Statistical attack
• C. Blind Classifier attack
• D. zsteg

Answer: (B)

Distinguishing statistical attack focuses on detecting hidden data by looking for statistical changes introduced by embedding and, in some cases, estimating how much data was embedded. The idea is that hiding data alters the normal statistical properties of the media (such as pixel value distributions or correlations), and by examining these changes you can tell that something was embedded and even gauge the payload length. That’s exactly what the described scenario is about: analyzing the embedded process to spot distinguishing statistical changes and infer how long the embedded data is. A chi-square attack is a concrete statistical method that looks at histogram deviations to spot LSB modifications, but it’s one specific technique within the broader category of statistical attacks. A blind classifier attack relies on machine learning to distinguish stego from cover using features, not necessarily focusing on the embedded algorithm’s statistical changes or payload length. zsteg is a practical tool for detecting steganography in images, often targeting LSB steganography in color channels, rather than describing this particular attack approach.

Distinguishing statistical attack focuses on detecting hidden data by looking for statistical changes introduced by embedding and, in some cases, estimating how much data was embedded. The idea is that hiding data alters the normal statistical properties of the media (such as pixel value distributions or correlations), and by examining these changes you can tell that something was embedded and even gauge the payload length. That’s exactly what the described scenario is about: analyzing the embedded process to spot distinguishing statistical changes and infer how long the embedded data is.

A chi-square attack is a concrete statistical method that looks at histogram deviations to spot LSB modifications, but it’s one specific technique within the broader category of statistical attacks. A blind classifier attack relies on machine learning to distinguish stego from cover using features, not necessarily focusing on the embedded algorithm’s statistical changes or payload length. zsteg is a practical tool for detecting steganography in images, often targeting LSB steganography in color channels, rather than describing this particular attack approach.