Embedding Text in Audio Steganography System using Advanced Encryption Standard, Text Compression and Spread Spectrum Techniques in Mp3 and Mp4 File Formats
TLDR
Results of performance evaluation of the developed system shows that it has very low level of distortion as revealed by the Signal to Noise Ratio (SNR) and the compression ratio obtained is also equal to one (1), which shows that the cover audio file is identical to the resultant stego file.Abstract:
Hiding text in a digital audio file format has been a major challenge because of the Human Auditory System (HAS) and how the digital audio will be converted into analog form for text to be embedded into it. Several techniques that include but are not limited to Least Significant Bit, Echo Hiding, Phase Coding, Parity Coding and so on have been proposed in both research communities and the academia. Audio steganography hides data in selected audio files. Several audio steganography works exist, but their major limitations include their inability to embed information in multiple audio file formats, high distortion rate and low level of robustness of their resultant stego files. This research attempts to proffer solution to the obvious challenges of the previous works by developing an efficient and robust audio steganography system for the security of information whether in store or on transit across the Internet. Results of performance evaluation of the developed system shows that it has very low level of distortion as revealed by the Signal to Noise Ratio (SNR). The compression ratio obtained is also equal to one (1), which shows that the cover audio file is identical to the resultant stego file.read more
Citations
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Journal ArticleDOI
Enhancing LSB Using Binary Message Size Encoding for High Capacity, Transparent and Secure Audio Steganography–An Innovative Approach
TL;DR: Comprehensive experiments on widely used metrics demonstrate that LSB-BMSE significantly surpasses existing methods in terms of hiding capacity and imperceptibility and shows resistance to brute force attacks and statistical analysis.
Journal ArticleDOI
Enhancing LSB Using Binary Message Size Encoding for High Capacity, Transparent and Secure Audio Steganography–An Innovative Approach
TL;DR: In this article , the authors proposed a novel LSB-BMSE method that enhances LSB audio steganography, which uses an innovative mechanism, Binaries of Message Size Encoding (BMSE), to embed a secret message after hiding its size in random samples.
Book ChapterDOI
A Two-Layer Image-Steganography System for Covert Communication Over Enterprise Network
TL;DR: The proposed system is a 2-level steganography system effective for storing sensitive data and even for securely transferring information over an open/enterprise network.
Book ChapterDOI
Development of an Audio Steganography System Using Discrete Cosine Transform and Spread Spectrum Techniques
TL;DR: Results of performance evaluation of this developed system shows that it has very low level of distortion as revealed by the Signal to Noise Ratio (SNR), which shows that the cover audio file is identical to the resultant stego-file.
References
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Journal Article
Hiding text in audio using multiple lsb steganography and provide security using cryptography
S. S. Divya,M. Ram,Mohan Reddy +2 more
TL;DR: This work proposes two novel approaches of substit ution technique of audio steganography that improves the capacity of cover audio for embedding additional data by 35% to 70% as compared to the standerd LSB algorithm with 4 LSBs used for data embedding.
New Technique for Hiding Data in Audio File
TL;DR: This paper proposes an information-hiding method to hide more information into audio media file (MP3), where bits of information will be hidden between frames (BF) in MP3 file.
Book ChapterDOI
Data Security – Challenges and Research Opportunities
TL;DR: Open issues, such as data protection from insider threat and how to reconcile security and privacy, are discussed, and research directions are outlined.
Journal ArticleDOI
A Novel Spread Spectrum Digital Audio Watermarking Technique
TL;DR: The experimental results demonstrate that the embedding technique is not only less audible but also more robust against the common signal processing attacks like low-pass filter, adding white Gaussian noise, shearing, and compression.
Audio Steganography Using High Frequency Noise Introduction
TL;DR: A new method of audio steganography that allows character data to be encoded into audio in a way that is indiscernible to prying third-parties is presented.