Audio Steganography
CHAPTER 1 : INTRODUCTION
1.1 General Introduction
Security is a complicated subject, which can be tackled by trained experts. As complexity increases, we need to understand the basics of security in a network world. We propose possibilities to develop adaptive steganographic techniques in general. Steganography refers to the practice of hiding secret message in communications over a public channel so that an eavesdropper cannot even tell that a secret message is being sent. The aim of this study was to investigate implement and evaluate a number of common methods of pixel-based Steganography. All the steganographic methods are based on the manipulation of LSB of pixel values or the rearrangement of colors to create LSB, which corresponds to the message being hidden. In addition to these, a technique such as putting your signature to the audio file will be used which provides a means to embed copyright and other information for identification and tracking.
Steganography is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity. Steganography works by replacing bits of useless or unused data in regular computer files (such as graphics, sound, text, HTML, or even floppy disks ) with bits of different, invisible information. This hidden information can be plain text, cipher text, or even images.
In a computer-based audio Steganography system, secret messages are embedded in digital sound. The secret message is embedded by slightly altering the binary sequence of a sound file. Existing audio Steganography software can embed messages in WAV, AU, and even MP3 sound files. Embedding secret messages in digital sound is usually a more difficult process than embedding messages in other media, such as digital images. These methods range from rather simple algorithms that insert information in the form of signal noise to more
1.1 General Introduction
Security is a complicated subject, which can be tackled by trained experts. As complexity increases, we need to understand the basics of security in a network world. We propose possibilities to develop adaptive steganographic techniques in general. Steganography refers to the practice of hiding secret message in communications over a public channel so that an eavesdropper cannot even tell that a secret message is being sent. The aim of this study was to investigate implement and evaluate a number of common methods of pixel-based Steganography. All the steganographic methods are based on the manipulation of LSB of pixel values or the rearrangement of colors to create LSB, which corresponds to the message being hidden. In addition to these, a technique such as putting your signature to the audio file will be used which provides a means to embed copyright and other information for identification and tracking.
Steganography is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity. Steganography works by replacing bits of useless or unused data in regular computer files (such as graphics, sound, text, HTML, or even floppy disks ) with bits of different, invisible information. This hidden information can be plain text, cipher text, or even images.
In a computer-based audio Steganography system, secret messages are embedded in digital sound. The secret message is embedded by slightly altering the binary sequence of a sound file. Existing audio Steganography software can embed messages in WAV, AU, and even MP3 sound files. Embedding secret messages in digital sound is usually a more difficult process than embedding messages in other media, such as digital images. These methods range from rather simple algorithms that insert information in the form of signal noise to more