Steganim-a novel information hiding technique using animations |
|
Overview
Categories: Steganography and Watermarking. Steganography. Is the art and science of communicating in a way which hides. The existence of the communication. While steganography. Focuses on undetectable communication, watermarking focuses. Multimedia files [1, 2]. Watermarks or copyright notice are. Used to identify the file as an intellectual property. They both. Differ in purpose, specifications and detection/extraction. The cover signal and embedded data which provides copyright.
Protection. In steganography, the object to be is the. Embedded message and the cover signal that serves as a carrier.. Therefore, watermark can be visible and there is no need to. Hide the presence of a watermark. Removal of a watermark. Renders the host signal useless. So, robustness against malicious. Attack and signal processing is a primary concern for. Watermarking. The necessary condition for a steganographic.
T. Sueyoshi is a professor at the Department of Management, New Mexico. Institute of Mining and Technology, Socorro, NM 87801 USA. (phone:. 505-835-6452; fax: 505-835-5498; e-mail: toshi@nmt.edu). He also is a. Visiting professor at National Cheng Kung University, Department of Industrial. G. R. Tadiparthi is a Ph.D. candidate at Department of Computer Science,. New Mexico Institute of Mining and Technology, Socorro, NM 87801 USA.. Algorithm is to avoid the detection of the embedded message.
Algorithmically or with the help of senses. Over the last few. Years, steganography has been studied in the framework of. Computer science. Several algorithms have been developed to. Steganography differs from cryptography, because it does. Not conceal the communication itself. However, it scrambles. The data to prevent eavesdroppers understanding the content.. Both of these techniques may be considered complementary.
And orthogonal. Firewalls can be configured to easily detect the. Presence of cryptographic technique in a given data set arriving. At one of the ports. Most good cryptographic tools also produce. Data that looks almost perfectly random. It can be said that they. Are trying to hide the information by disguising it as random. Noise. On the other hand, many steganographic algorithms are. Not trivial to break even after learning that there is hidden data.
To find. Cryptographic authentication protocols cannot solve all. The issues related to authentication. Cryptographic. Authentication deals with authenticating the sender of the. Message over insecure channels. However, once the message. (image) is decrypted, the image is unprotected and can be. Copied and further distributed. This led us to believe that a data. Hiding model has to be designed in a manner which it uses.
Neither cryptography nor error control coding for robustness.. Steganalysis is the detection of the presence of hidden. Information in a given multimedia file. It involves two. Techniques: visual and statistical analysis. Visual analysis uses. Human eye to detect the presence of hidden information. These. Techniques can also use some signal processing algorithms. (decomposing the image into bit planes) to facilitate the.
Detection. Visual inspection can succeed when secret data is. Inserted in relatively smooth areas with pixel values near. Saturation [3]. A relatively powerful detection tool is with the.
Protection. In steganography, the object to be is the. Embedded message and the cover signal that serves as a carrier.. Therefore, watermark can be visible and there is no need to. Hide the presence of a watermark. Removal of a watermark. Renders the host signal useless. So, robustness against malicious. Attack and signal processing is a primary concern for. Watermarking. The necessary condition for a steganographic.
T. Sueyoshi is a professor at the Department of Management, New Mexico. Institute of Mining and Technology, Socorro, NM 87801 USA. (phone:. 505-835-6452; fax: 505-835-5498; e-mail: toshi@nmt.edu). He also is a. Visiting professor at National Cheng Kung University, Department of Industrial. G. R. Tadiparthi is a Ph.D. candidate at Department of Computer Science,. New Mexico Institute of Mining and Technology, Socorro, NM 87801 USA.. Algorithm is to avoid the detection of the embedded message.
Algorithmically or with the help of senses. Over the last few. Years, steganography has been studied in the framework of. Computer science. Several algorithms have been developed to. Steganography differs from cryptography, because it does. Not conceal the communication itself. However, it scrambles. The data to prevent eavesdroppers understanding the content.. Both of these techniques may be considered complementary.
And orthogonal. Firewalls can be configured to easily detect the. Presence of cryptographic technique in a given data set arriving. At one of the ports. Most good cryptographic tools also produce. Data that looks almost perfectly random. It can be said that they. Are trying to hide the information by disguising it as random. Noise. On the other hand, many steganographic algorithms are. Not trivial to break even after learning that there is hidden data.
To find. Cryptographic authentication protocols cannot solve all. The issues related to authentication. Cryptographic. Authentication deals with authenticating the sender of the. Message over insecure channels. However, once the message. (image) is decrypted, the image is unprotected and can be. Copied and further distributed. This led us to believe that a data. Hiding model has to be designed in a manner which it uses.
Neither cryptography nor error control coding for robustness.. Steganalysis is the detection of the presence of hidden. Information in a given multimedia file. It involves two. Techniques: visual and statistical analysis. Visual analysis uses. Human eye to detect the presence of hidden information. These. Techniques can also use some signal processing algorithms. (decomposing the image into bit planes) to facilitate the.
Detection. Visual inspection can succeed when secret data is. Inserted in relatively smooth areas with pixel values near. Saturation [3]. A relatively powerful detection tool is with the.
