Implementation of Low Bit Coding Algorithm and Cipher Block with Electronic Code Book Mode for Data Legality in Audio Steganographic Streaming

Nursalman, Muhammad; Rachman, J. Rizky; Sidik, Faisal

doi:10.1109/icitsi.2018.8695921

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…In the LSB embedding technique, both cover audio and secret messages are converted into their stream of binary value (Hameed et al, 2019;Nursalman et al, 2018;Solak, 2020). Then, the LSBs of audio samples are replaced with the sequence of bits of the secret message (Jayapandiyan et al, 2020;Sahu & Swain, 2022).…”

Section: Lsbmentioning

confidence: 99%

Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

Azam¹,

Ridzuan²,

Sayuti³

2023

Journal of Information and Communication Technology

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Existing embedding techniques depend on cover audio selected by users. Unknowingly, users may make a poor cover audio selectionthat is not optimised in its capacity or imperceptibility features, which could reduce the effectiveness of any embedding technique. As a trade-off exists between capacity and imperceptibility, producing a method focused on optimising both features is crucial. One ofthe search methods commonly used to find solutions for the trade-off problem in various fields is the Multi-Objective Evolutionary Algorithm (MOEA). Therefore, this research proposed a new method for optimising cover audio selection for audio steganography using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which falls under the MOEA Pareto dominance paradigm. The proposed method provided suggestions for cover audio to users based on imperceptibility and capacity features. The sample difference calculation was initially formulated to determine the maximum capacity for each cover audio defined in the cover audio database. Next, NSGA-II was implemented to determine the optimised solutions based on the parameters provided by each chromosome. The experimental results demonstrated the effectiveness of the proposed method as it managed to dominate thesolutions from the previous method selected based on one criterion only. In addition, the proposed method considered that the trade-off managed to select the solution as the highest priority compared to the previous method, which put the same solution as low as 71 in the priority ranking. In conclusion, the method optimised the cover audio selected, thus, improving the effectiveness of the audio steganography used. It can be a response to help people whose computers and mobile devices continue to be unfamiliar with audio steganography in an age where information security is crucial.

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Section: Lsbmentioning

confidence: 99%

Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

Azam¹,

Ridzuan²,

Sayuti³

2023

Journal of Information and Communication Technology

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“…Imperceptibility testing ensures that the audio quality of steganography is not much different from before and after the image message is inserted [28]. In this test, the quality of steganographic audio files will be compared before inserting image messages (JPEG, PNG, and BMP) with after inserting image messages of various sizes, both before being compressed and after being compressed using the snappy compression algorithm and encryption algorithm (AES and RC4).…”

Section: Imperceptibilitymentioning

confidence: 99%

“…Measurement of fidelity aspect using SNR and PSNR. The measurement of the fidelity aspect is to ensure that the quality or quality of the steganography audio file after being inserted can be measured and assessed objectively [28]. The standard to show the quality of a good audio steganography file is with a PSNR value greater than 30 dB, assuming that with a minimum value of 30 dB the message cannot be perceived as being in the steganography file and the steganographic audio quality does not cause much noise.…”

Section: Fidelitymentioning

confidence: 99%

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Evaluation of Audio Steganography To Embed Image Files Using Encryption and Snappy Compression

Ashari

2022

ijcs

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Images are messages that can be kept secret, so security measures are needed. Techniques that can be used are cryptography and steganography. Steganography can be combined with cryptography to increase security. Images have a relatively large size; Therefore, a compression algorithm is needed. The compression algorithm used is lossless compression. MP3 audio is used as the cover media because it is the most popular audio file. In this study, aspects of imperceptibility, fidelity, recovery, payload, and robustness will be evaluated. The imperceptibility aspect is carried out by observing the RGB Histogram of the image and the audio frequency spectrum, the test results show that there is no significant difference between the audio before and after the image message is inserted. In the fidelity aspect, the PSNR result is above 30 dB. In the payload aspect, the file size after being encrypted with AES and RC4 is larger than just encoded using the base64 encoder. From the recovery aspect, the test results show a BER value of 0. Testing the robustness aspect by manipulating the bitrate, channel mode, and sample frequency, the test results show that the message cannot be extracted.

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Implementation of Low Bit Coding Algorithm and Cipher Block with Electronic Code Book Mode for Data Legality in Audio Steganographic Streaming

Cited by 2 publications

References 2 publications

Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

Evaluation of Audio Steganography To Embed Image Files Using Encryption and Snappy Compression

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