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Improving LSB Audio Steganography Using Simulated Annealing for Satellite Telemetry

机译:使用模拟退火技术改进LSB音频隐写技术以进行卫星遥测

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Audio Steganography is a method that ensures secured data transfer between parties. Least Significant Bit (LSB) data hiding technique is an efficient and simple technique used for audio steganography but could be easily discovered. The idea behind this research is to deliver secured satellite telemetry data through the audio beacon signal. Two ways are used to improve the conventional audio steganography LSB technique. First way is to increase the capacity of the hidden telemetry data. But the second one is to increase the robustness, while keeping the beacon audio signal imperceptible. This research proposes two novel approaches to increase capacity and robustness. The first approach is to randomize the selected frame that is used to hide data by using PN sequence generator. Furthermore, the second is to embed secret message in higher significant bits rather than least significant ones. To achieve the imperceptibility of the audio signal, the target audio should be optimized. However, optimization approach is based on simulated annealing (SA). Signal-To-Noise Ratio (SNR) is used as a benchmark to measure the performance of the proposed algorithm. Results proved the superiority of proposed approach.
机译:音频隐写术是一种确保各方之间安全的数据传输的方法。最低有效位(LSB)数据隐藏技术是一种用于音频隐秘术的有效且简单的技术,但很容易发现。这项研究背后的想法是通过音频信标信号提供安全的卫星遥测数据。有两种方法可以改进传统的音频隐写技术LSB技术。第一种方法是增加隐藏的遥测数据的容量。但是第二个方法是增加鲁棒性,同时保持信标音频信号不被察觉。这项研究提出了两种新颖的方法来增加容量和鲁棒性。第一种方法是使用PN序列生成器将用于隐藏数据的所选帧随机化。此外,第二种方法是将机密消息嵌入到较高有效位而不是最低有效位中。为了获得音频信号的不可感知性,应优化目标音频。但是,优化方法基于模拟退火(SA)。信噪比(SNR)用作衡量所提出算法性能的基准。结果证明了该方法的优越性。

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