Steganography Detection Techniques | IT Forensics Investigator

Detecting Evidence of Steganography

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Which of the following is the BEST way for an IT forensics investigator to detect evidence of steganography?

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A. B. C. D.

A.

Steganography is the practice of hiding information within other information or media, such as images, audio, or video files. The purpose of steganography is to conceal the existence of the hidden information. In digital forensics, steganography may be used to hide sensitive information or data that may be incriminating.

To detect evidence of steganography, an IT forensics investigator can use various methods, including the following:

A. Compare file hashes between original and modified image files. One way to detect steganography is by comparing the hash value of an original image file with the hash value of a potentially modified image file. The hash value is a unique fingerprint of a file, and any modifications made to the file will result in a different hash value. If the hash values of the original and modified files do not match, it suggests that the modified file may contain hidden data.

B. Identify and analyze emergent properties within a file system's metadata. Steganography may also be detected by examining the metadata of a file system. Metadata is data about data, and it provides information about a file, such as its creation time, modification time, and size. Steganography may be detected by analyzing the emergent properties within a file system's metadata, such as discrepancies between the file size and the amount of data actually stored within the file.

C. Recover deleted files from a suspected hard drive utilizing forensics software. Another method for detecting steganography is by recovering deleted files from a suspected hard drive. Deleted files may contain hidden data, and forensic software can be used to recover the deleted files and analyze their contents.

D. Scan computer operating systems using administrative tools. Administrative tools can be used to scan computer operating systems for steganography software or suspicious activity that may suggest the presence of steganography. For example, a network analyzer may be used to monitor network traffic for suspicious data transfers or unusual communication patterns.

In conclusion, the best method for detecting evidence of steganography will depend on the specific circumstances of the investigation. However, a combination of the above methods may be used to increase the chances of detecting steganography and recovering any hidden data.