Publication Type : Journal Article
Thematic Areas : TIFAC-CORE in Cyber Security
Publisher : Intelligent Computing, Communication and Devices: Proceedings of ICCD 2014, Volume 1
Source : In Intelligent Computing, Communication and Devices (pp. 605-611). Springer India.
Campus : Coimbatore
School : Centre for Cybersecurity Systems and Networks, School of Engineering
Center : TIFAC CORE in Cyber Security
Department : Electronics and Communication, cyber Security
Year : 2015
Abstract : Modern communication through digital media is finding traction in our day-to-day life. Steganography plays its role in improving the security of communication by various means. However, all these technologies can also be used with malicious intent. Terrorist organizations have been using steganographic techniques to communicate for a while now. Thus, it is imperative that countermeasures are made to be efficient. Various forms of stego-media are available. Among the available media, digital audio is a very popular carrier for covert communication. Recently, many audio steganalysis methods have been proposed to detect existence of hidden data in stego-media of all formats. In this paper, we look into the analysis of MP3Stego an MP3 steganographic tool. We have considered features such as Markov transition and neighboring joint density. Experimental results show that our approach is successful in discriminating MP3 covers and the steganograms generated using MP3Stego.