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A novel approach for audio steganography by processing of amplitudes and signs of secret audio separately

机译:通过分别处理秘密音频的幅度和符号来进行音频隐写术的一种新方法

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摘要

Now a days, cases of theft of important data both by employees of the organization and outside hackers are increasing day-by-day. So, new methods for information hiding and secret communication are need of today. Steganography is an option for it. Embedding a secret message into other meaningful message (cover media) without disturbing the features of the cover media is known as steganography. A novel approach for audio steganography is proposed in this paper. Here, secret message and cover media both are digital audio. Proposed approach is robust with respect to both LSB removal and re-sampling attacks. This approach adds extra layer of security because a transformation function is applied on amplitude bits of secret audio before embedding. This approach is more resistive towards white Gaussian noise addition (WGN) during transmission of stego file. The proposed approach is also suitable for embedding secret audio during real time audio communication because processing time is low while embedding capacity is high. Embedding capacity of the proposed approach is same as of conventional LSB approach because in both approaches one bit of secret is being inserted in each sample of cover audio. Standard parameters: Perceptual Evaluation of Speech Quality (PESQ) and Mean Opinion Score (MOS) are used for measuring the imperceptibility between cover audio & stego audio. For the proposed approach, PESQ and MOS are found as 4.47 and 5 that are very close to their respective highest values 4.5 and 5 when there is no attack.
机译:如今,组织员工和外部黑客窃取重要数据的情况日​​益增加。因此,当今需要用于信息隐藏和秘密通信的新方法。隐写术是一种选择。将秘密消息嵌入其他有意义的消息(封面媒体)而不干扰封面媒体的功能的做法被称为隐写术。本文提出了一种音频隐写术的新方法。在这里,秘密消息和掩护媒体都是数字音频。相对于LSB删除和重采样攻击,建议的方法都非常可靠。这种方法增加了一层额外的安全保护,因为在嵌入之前,对秘密音频的幅度位应用了转换函数。此方法在隐身文件传输期间对白高斯噪声加法(WGN)更具抵抗力。所提出的方法还适合于在实时音频通信期间嵌入秘密音频,因为处理时间短而嵌入容量高。所提出的方法的嵌入能力与传统的LSB方法相同,这是因为在这两种方法中,秘密的比特都插入了每个掩盖音频样本中。标准参数:语音质量的感知评估(PESQ)和平均意见得分(MOS)用于测量掩盖音频和隐秘音频之间的不可感知性。对于所提出的方法,发现PESQ和MOS为4.47和5,它们在没有攻击时非常接近各自的最高值4.5和5。

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