An Efficient Method to Audio Steganography based on Modification of Least Significant Bit Technique using Random Keys
Author(s) -
Ali Meligy,
Mohammed M. Nasef,
Fatma T. Eid
Publication year - 2015
Publication title -
international journal of computer network and information security
Language(s) - English
Resource type - Journals
eISSN - 2074-9104
pISSN - 2074-9090
DOI - 10.5815/ijcnis.2015.07.03
Subject(s) - steganography , computer science , least significant bit , steganography tools , sort , embedding , robustness (evolution) , theoretical computer science , speech recognition , artificial intelligence , computer vision , information retrieval , gene , operating system , chemistry , biochemistry
Steganography is the art of amalgamating the secret message into another public message which may be text, audio or video file in a way that no one can know or imperceptible the existence of message. So, the secret message can send in a secret and obscure way using steganography techniques. In this paper, we use the audio steganography where the secret message conceal in audio file. We use audio rather than image because the human auditory system (HAS) is more sensitive than human visual system (HVS). We propose an audio steganography algorithm, for embedding text, audio or image based on Lifting Wavelet Transform (LWT) transform with modification of Least Significant Bit (LSB) technique and three random keys where these key is used to increase the robustness of the LSB technique and without it no one can know the sort of secret message type, the length of the secret message and the initial position of the embedded secret message in LSB. The performance of our algorithm is calculated using SNR and we compare the values of our proposed method with some known algorithms.
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