Open AccessDigital Text Security with Steganography Least Significant Bit and Audio Feature Extraction
Author(s) -
Mutia Delina,
H Nasbey,
Alexander A S Gunawan,
Surano Muhasyah
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2019/1/012108
Subject(s) - steganography , computer science , digital audio , cover (algebra) , feature extraction , speech recognition , feature (linguistics) , audio signal , least significant bit , artificial intelligence , speech coding , engineering , embedding , linguistics , mechanical engineering , philosophy , operating system
The study developed a digital text security system by inserting the classified message or text into digital audio (stego audio) with the least significant bit (LSB) steganography and audio feature extraction. The text bits were inserted into each cover audio frame based on the value of feature extraction energy and zero-crossing rate (ZCR). The study has demonstrated that the least significant bit and audio feature extraction can cover the digital text in stego audio and then be extracted back to the original digital text. There is a small difference in feature extraction energy value between stego audio and cover audio. While there is no difference in feature extraction zero-crossing rate between stego audio and cover audio. The study also measured signal-to-noise ratio (SNR); the detected noise in stego audio because of the change in the least significant bit. The SNR is 111.97 – 130.00 dB.