One Article Review
| Source |  AlienVault Lab Blog |
|---|---|
| Identifiant | 8368854 |
| Date de publication | 2023-08-11 10:00:00 (vue: 2023-08-11 10:06:28) |
| Titre | Image Steganography: dissiper les secrets dans les pixels Image steganography: Concealing secrets within pixels |
| Texte | The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article.
In the realm of information security and covert communication, image steganography serves as a powerful technique for hiding sensitive data within innocent-looking images. By embedding secret messages or files within the pixels of an image, steganography enables covert transmission without arousing suspicion. This article aims to delve into the world of image steganography, exploring its principles, techniques, and real-world applications.
Understanding image steganography
Image steganography is the practice of concealing information within the data of digital images without altering their visual appearance. The hidden data can include text, images, audio, or any other form of binary information.
Image steganography serves as a clandestine communication method, providing a means to transmit sensitive information without arousing the suspicion of adversaries or unauthorized individuals. It offers an additional layer of security and confidentiality in digital communication.
Steganography vs. Cryptography: While cryptography focuses on encrypting data to render it unreadable, steganography aims to hide the existence of the data itself, making it inconspicuous within an image. Steganography can be used in conjunction with encryption to further enhance the security of covert communication.
Techniques of image steganography
LSB substitution: The Least Significant Bit (LSB) substitution method involves replacing the least significant bits of pixel values with secret data. As the least significant bits have minimal impact on the visual appearance of the image, this technique allows for the hiding of information without noticeably altering the image.
Spatial domain techniques: Various spatial domain techniques involve modifying the pixel values directly to embed secret data. These techniques include modifying pixel intensities, color values, or rearranging pixels based on a predefined pattern.
Transform domain techniques: Transform domain techniques, such as Discrete Cosine Transform (DCT) or Discrete Fourier Transform (DFT), manipulate the frequency domain representation of an image to embed secret data. This allows for the concealment of information within the frequency components of an image.
Spread spectrum techniques: Inspired by radio frequency communication, spread spectrum techniques spread the secret data across multiple pixels by slightly modifying their values. This method makes the hidden data more robust against detection and extraction attempts.
Adaptive steganography: Adaptive techniques dynamically adjust the embedding process based on the image content and local characteristics, making the hidden data even more resistant to detection. This approach enhances security and makes it harder for adversaries to identify stego images.
Let’s see a working example of image steganography using a free tool called OpenStego, the same can be downloaded from here. You will be required to have Java Runtime Environment for OpenStego to work on your system.
Once, you’ve installed OpenStego, you will see its interface as shown below:
It has multiple options including Hide Data and Extract Data - more about these options can be found at official documentation of the tool.
We need to have two files, Message File (Which will be hidden data or data we want to hide) and Cover File (The file which we will use as a cover to hide the message file.)
I have downloaded two image files for the same.
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| Notes | ★★★ |
| Envoyé | Oui |
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