Announcement for Downloading full text filePlease respect the Copyright Act.
All digital full text dissertation and theses from this website are authorized the copyright owners. These copyrighted full-text dissertation and theses can be only used for academic, research and non-commercial purposes. Users of this website can search, read, and print for personal usage. In respect of the Copyright Act of the Republic of China, please do not reproduce, distribute, change, or edit the content of these dissertations and theses without any permission. Please do not create any work based upon a pre-existing work by reproduction, Adaptation, Distribution or other means.
URN etd-0806118-193939 Statistics This thesis had been viewed 68 times. Download 0 times. Author Chao-Kuo Huang Author's Email Address No Public. Department Communication Engineering Year 2017 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 37 Title IMPROVEMENT METHODS FOR AUDIO STEGANOGRAPHY Keyword Payload Least Significant Bit Audio Steganography Audio Steganography Least Significant Bit Payload Abstract In modern life, various media such as the internet are often used to transmit and receive personal or business information. This also means that transmitting information may be extracted by illegal hackers. Thus, in order to improve the privacy and security in information transmitting, the development of steganography has received increasing attention. In a word, the technique of steganography is to hide secret information in an ordinary cover medium to produce a secret-embedded medium that is very similar to the original cover medium, referred to as the stego medium. Carrying the secret information, the stego medium is transmitted with the benefit of not easily attracting attention and preventing illegal extraction. The legal recipient can extract the secret information from the received stego medium by the known agreement.
There are many possible types of secret information and cover media, such as text, data, sound, image, etc. The research in this thesis concerns the improvement methods of steganography for audio signals. Specifically, we selected audio signals for both the secret information and the cover media. This thesis begins with a review of existing audio steganography methods, including methods based on the least significant bit (LSB), parity coding, echo hiding, phase coding, and spread spectrum technique. Based on the LSB technology, the objective of our research is to develop audio steganography techniques that can increase the secret-information payload while reduce the perceptible influence of the received stego medium.
Based on the experiments results, the research of this thesis showed that when the secret information is embedded, the perceptible influence will vary with the amplitudes of the original cover media. Specifically, with larger amplitudes of the cover media, the perceptible influence is less significant, which means that more secret information bits can be embedded in the parts of the cover medium with larger amplitudes. The research used two kinds of indexes for amplitude judgment, one is the amplitude of each sample of the cover medium, and the other is the average amplitude of the duration of 0.01 seconds of the cover medium. The experiments results showed that the use of average amplitude can increase the secret-information payload with no more perceptible influence of the stego medium.
With the embedded secret information, each sample of the stego audio signal may have a difference (within a certain extent) from the original cover signal, and may therefore induce perceptible influence. The larger the difference, the perceptible influence is more significant. To reduce the possible difference between the cover signal and the stego signal, this research developed an improved method that can reduce the range of differences by half. By using comparative hearing test, this research developed and proposed a variable-LSB steganography method for audio signals, with a set of rules of determining the acceptable number of LSB bits that can be embedded in samples of the cover signal with different amplitudes. In summary, this research achieved the goal of increasing the amount of secret information payload and reducing the perceptible influence of the audio stego signal.
Advisor Committee Ching-Kuen Lee - advisor
Shuenn-Shyang Wang - co-chair
Yuan-Tzu Ting - co-chair
Files Date of Defense 2018-07-20 Date of Submission 2018-08-07