A New Intelligent Steganalysis Method for Waveform Audio Files


YAVANOĞLU U. , Ozcakmak B., Milletsever O.

11th IEEE International Conference on Machine Learning and Applications (ICMLA), Florida, United States Of America, 12 - 15 December 2012, pp.233-239 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icmla.2012.150
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.233-239

Abstract

This paper presents an intelligent steganalysis method to investigate anomalies in Waveform Audio File Format (Wave). There are many images and audio file formats available to hide sensitive information without attracting attentions. Steganalysis is a set of techniques to reveal secrets in audio, video or other file formats. Image based stego analysis is fairly simple because hiding methods such as LSB cause RGB inequalities. On the other hand, audio files contain time domain frequencies to create sound waves. The tracks contain wavelength, noise, direction, channels etc. For that reason, it is hard to investigate an audio file containing steganographic information in it or not. This paper proposes an intelligent steganalysis method to investigate wave audio signals if they contain any steganographic content or not. In order to achieve the task, steganalysis software was developed and named as HITIT. The results have shown that the proposed approach and developed software achieves the steganalysis task with %75 success.