论文标题
一种新型的基于混乱的轻巧图像加密方案，用于多模式助听器
A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids
论文作者
论文摘要
多模式助听器（有）旨在通过不仅以音频，视觉信息的形式对上下文感测和处理数据（例如，唇读）来传递更明显的音频。机器学习技术可以在多模式数据的上下文处理中起关键作用。但是，由于HA设备的计算能力较低，因此必须在边缘或云上处理该数据，从而对敏感用户数据提出隐私问题。现有文献提出了几种用于数据加密的技术，但是它们的计算复杂性是满足未来多模式助听器的严格延迟要求的主要瓶颈。为了克服这个问题，本文提出了一种基于基于混乱的加密的新型实时音频/视觉数据加密方案，该方案使用切线段椭圆形反射腔映射系统（TD-ERC）映射和非线性混乱（NCA）算法。在不同的安全参数中取得的结果，包括相关系数，统一的平均变化强度（UACI），关键敏感性分析，更改率（NPCR）的数量（NPCR），均方误差（MSE），峰信号（MSE），峰信号与噪声比（PSNR），熵测试和CHI较低的计划更较低，以表明其较较低的拟议时，该计划是更较低的，以确定其较低的确定性，以使其较低的较低的实行时间归功于其较低的确定性。反对现代蛮力攻击的关键空间。
Multimodal hearing aids (HAs) aim to deliver more intelligible audio in noisy environments by contextually sensing and processing data in the form of not only audio but also visual information (e.g. lip reading). Machine learning techniques can play a pivotal role for the contextually processing of multimodal data. However, since the computational power of HA devices is low, therefore this data must be processed either on the edge or cloud which, in turn, poses privacy concerns for sensitive user data. Existing literature proposes several techniques for data encryption but their computational complexity is a major bottleneck to meet strict latency requirements for development of future multi-modal hearing aids. To overcome this problem, this paper proposes a novel real-time audio/visual data encryption scheme based on chaos-based encryption using the Tangent-Delay Ellipse Reflecting Cavity-Map System (TD-ERCS) map and Non-linear Chaotic (NCA) Algorithm. The results achieved against different security parameters, including Correlation Coefficient, Unified Averaged Changed Intensity (UACI), Key Sensitivity Analysis, Number of Changing Pixel Rate (NPCR), Mean-Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Entropy test, and Chi-test, indicate that the newly proposed scheme is more lightweight due to its lower execution time as compared to existing schemes and more secure due to increased key-space against modern brute-force attacks.
