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What is hidden data called?

Published in Data Concealment 4 mins read

Hidden data is primarily associated with steganography, the art and science of concealing information within other non-secret data or files.

Understanding Steganography: The Art of Concealed Information

Steganography is a method of hiding information, where the very existence of the message is obscured. Unlike cryptography, which scrambles a message to make it unreadable without a key, steganography aims to make the message invisible or appear as something else entirely. The goal is to prevent a third party from even knowing that hidden information exists.

This practice involves hiding an image, message, or file within something that isn't a secret. This concept is more common than one might think; even activities like playing with "magic ink" to bring secret notes to life are a form of steganography, where the ink itself is the carrier for the hidden message. The hidden data itself, once embedded, might be referred to as a covert message or a steganogram.

How Data Is Hidden: Common Steganographic Techniques

Steganography utilizes various methods to embed hidden data. These techniques often exploit redundancies or less noticeable aspects of digital files:

  • Least Significant Bit (LSB) Insertion: This is a common technique, especially for image and audio files. It involves altering the least significant bits of pixel data (in images) or audio samples (in sound files) to embed the secret message. These changes are usually imperceptible to the human eye or ear.
  • Injecting Data into Unused Spaces: Hidden data can be placed in unused areas of file formats, such as metadata fields, file headers, or the empty space at the end of a file.
  • Text Steganography: This involves hiding information within ordinary text by:
    • Linguistic Steganography: Manipulating sentence structure, word choice, or punctuation to convey a hidden message.
    • Formal Steganography: Modifying the formatting of text, like using subtle spacing or line breaks, to embed data.
  • Network Steganography (Protocol Steganography): Embedding data within network protocols, such as in the header fields of TCP/IP packets or unused fields within various communication protocols.

Steganography vs. Cryptography: Key Differences

While both steganography and cryptography deal with securing information, their approaches and primary goals differ significantly:

Feature Steganography Cryptography
Primary Goal Conceal the existence of the message Conceal the meaning of the message
Visibility Message is hidden and imperceptible Message is visible but unreadable (scrambled)
Detection Risk High if existence is suspected High if encryption is broken
Focus Covert communication Secure communication
Examples Message hidden in an image, magic ink notes Encrypted emails, secure website connections (HTTPS)

Practical Applications and Use Cases

Steganography has a range of applications, both legitimate and potentially malicious:

  • Copyright Protection: Embedding digital watermarks into media files to prove ownership or track unauthorized distribution.
  • Covert Communication: In situations where overt communication is monitored or dangerous, steganography can be used by dissidents, journalists, or intelligence agencies to exchange information secretly.
  • Data Integrity: Embedding checksums or hashes within files to detect tampering.
  • Digital Forensics: Identifying hidden data can be crucial in criminal investigations involving cybercrime.

However, it can also be misused for illicit activities, such as:

  • Distributing malware.
  • Exfiltrating sensitive data from secure networks.
  • Covert communication among criminal or terrorist groups.

Detecting Hidden Data (Steganalysis)

The counterpart to steganography is steganalysis, which involves the detection and extraction of hidden information. Steganalysis tools and techniques look for statistical anomalies or subtle changes in files that might indicate the presence of embedded data. As steganographic techniques become more sophisticated, so do the methods for detecting them.

Conclusion

Hidden data is fundamentally linked to steganography, a fascinating field focused on the art of concealment. Whether used for legitimate purposes like watermarking or for covert communication, understanding how data can be hidden is crucial in today's digital landscape.