Embedding Text in Audio Steganography System using Advanced Encryption Standard, Text Compression and Spread Spectrum Techniques in Mp3 and Mp4 File Formats

Olawale, Adeboje; Adebayo, Adetunmbi; Gabriel, Arome Junior

doi:10.5120/ijca2020919914

Cited by 12 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [11], Adeboje et al developed an audio steganography system that may use two (2) different file formats as cover files. The authors tested their technique using the MP3 and MP4 file formats.…”

Section: Related Workmentioning

confidence: 99%

Secure Electronic Commerce Transactions Using Pythagorean Triple-based Cryptography and Audio Steganography

Gabriel

Awosola

2023

ACE

View full text Add to dashboard Cite

The rapidly increasing utilization of Information Technology (IT) in electronic commerce and other aspects of human existence has led to a rise in worries about the privacy and safe-ty/security of those involved. Due to the alarmingly high frequency with which data or user privacy breaches occur today, conducting online transactions can represent a major threat to buyers (and even business owners') privacy. Existing solutions to these security issues are still vulnerable to classic phishing scams. As a result, the construction of a robust and effi-cient audio steganography system for secure electronic commerce transactions is presented in this work. The developed system first encrypts sensitive financial data using the Pythagorean Triple-based Cryptographic (PTC) algorithm, then compresses the resulting cipher-text using the Lempel Ziv Welch (LZW) and Huffman's Compression Algorithms, and finally embeds the compressed file (using one-dimensional Discrete Cosine Transform (DCT)) in a suitable audio-file cover to produce an output (stego file) that is indistinguishable from the cover file. This output can then be exchanged between communicating entities across open networks. The new system has a little or no alteration in its outputs, as evidenced by the Signal-to-Noise Ratio (SNR), in the experimental results gotten.

show abstract

Section: Related Workmentioning

confidence: 99%

Secure Electronic Commerce Transactions Using Pythagorean Triple-based Cryptography and Audio Steganography

Gabriel

Awosola

2023

ACE

View full text Add to dashboard Cite

show abstract

“…We set this up by finding different audio file formats such as MP3, MP4, and Wav Files, then plugging it into our code. The MP3 and MP4 audio files were not compatible, as it didn't sync, and the LEDlights also didn't connect [10]. However, the Wav audio files were compatible working every time with an accuracy rate of 100%.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Musical Accessibility: A Novel Device for Individuals with Hearing Impairments using Vibrations and LED Lights Synchronized with Music Tempo

Chen,

Lou

2024

Software Engineering &Amp; Trends

View full text Add to dashboard Cite

Our project is centered on the concept of making music accessible to all individuals, including those with hearing impairments. Music can often play a large role in many lives, able to serve as a source of emotional comfort for many. As the numbers of hearingimpaired individuals rise significantly each year, it is important to enhance accessibility within their lives, including ways to experience the joy of music. By creating a device with vibrations and LED lights that sync with the beat/tempo of each song, this new way of music is easily accessible to all, especially to those with hearing impairments [7]. Leveraging our coding skills, we designed a program that could analyze a specific audio file. The analyzed information is then sent to our raspberry pi, connected to a haptic controller and LED lights through GPIO pins, this allows an easily accessible and functioning process for all users [8].

show abstract

“…Regarding the hiding technique, audio steganography is classified into temporal (time) domain [13][14][15], transform domain [11] [20][21][22][23][24][25][26][27] and compressed [28] [29]. Time domains are characterized by high hiding capacity and imperceptibility yet low robustness.…”

Section: Introductionmentioning

confidence: 99%

Ameliorating LSB Using Piecewise Linear Chaotic Map and One-Time Pad for Superlative Capacity, Imperceptibility and Secure Audio Steganography

Elshoush

Mahmoud

2023

IEEE Access

View full text Add to dashboard Cite

Audio steganography hides a secret message into an audio. Existing techniques are lacking in achieving high payload, imperceptibility in addition to robustness at the same time. They also suffer from choosing the samples and even LSBs in an unpredictable fashion. Moreover, few adaptive techniques exist, besides not many embed in higher LSBs. Hence, a novel LSB PW LCM method that ameliorates LSB audio steganography is proposed. It uses piecewise linear chaotic map (PWLCM) to embed a secret message in random samples, besides selecting one of the 4-LSBs in an unsystematic way. It is noteworthy that each time a distinct sample and hence a differed 4-LSB is chosen as per different generated PWLCM. At first, Huffman coding is used to lessen the secret message size. Thereafter, to ameliorate the security of the onetime pad, random numbers are generated using PWLCM as an input key. This gives the proposed method a dual protection by amalgamating steganography with enhanced secure one-time pad. MATLAB is used to implement the proposed LSB PW LCM method and evaluate the imperceptibility between cover and stego audios against standard parameters viz. Perceptual Evaluation of Speech Quality (PESQ) and Perceptual Evaluation of Audio Quality (PEAQ). Furthermore, its imperceptibility was tested using Mean Square Error, Peak Signal to Noise Ratio, Signal-to-Noise Ratio, Percentage Root Mean Square Difference and Audio Fidelity. Exhaustive experiments on vastly used metrics affirm that the proposed method LSB PW LCM excel prevailing methods regarding hiding capacity and imperceptibility. Furthermore, it is resistant to brute force attacks having a large key space besides its dependency on the secret message size. In addition, it effectively withstood statistical analysis, specifically histogram attack and fourth first moments. Albeit it was vigorous towards re-sampling attacks, yet it was not very robust against LSB attacks nor noise. Assuredly, it prevails over existing methods and beyond comparison when juxtaposed with them affirming its efficacy.

show abstract

Embedding Text in Audio Steganography System using Advanced Encryption Standard, Text Compression and Spread Spectrum Techniques in Mp3 and Mp4 File Formats

Cited by 12 publications

References 0 publications

Secure Electronic Commerce Transactions Using Pythagorean Triple-based Cryptography and Audio Steganography

Secure Electronic Commerce Transactions Using Pythagorean Triple-based Cryptography and Audio Steganography

Enhancing Musical Accessibility: A Novel Device for Individuals with Hearing Impairments using Vibrations and LED Lights Synchronized with Music Tempo

Ameliorating LSB Using Piecewise Linear Chaotic Map and One-Time Pad for Superlative Capacity, Imperceptibility and Secure Audio Steganography

Contact Info

Product

Resources

About