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Fuzzy Logic and the Greatest Common Divisor on Audio-Based Data Hiding Method


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DOI: https://doi.org/10.15866/iremos.v15i3.22235

Abstract


With the massive development of information technology, all data cannot be assumed to be safe from illegal parties. Data can have a very high vulnerability to being accessed by the public, even if the data are private or confidential. In order to overcome this problem, it is necessary to have a method to hide confidential data or information that others should not know. Many methods introduced have not overcome common problems in data hiding, namely the low quality produced after the embedding process. This study summarizes the problems and proposes a method that focuses on improving the quality of stego-audio files by developing a fuzzification method using Fuzzy Logic and the Greatest Common Divisor (GCD) to produce better audio quality. The final result shows that the stego-audio quality improves as evaluated using a Peak Signal-to-Noise Ratio (PSNR) without additional steps such as smoothing or payload distribution.
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Keywords


Data Hiding; Information Security; Infrastructure; Fuzzy Logic

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