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Multi Layer Image Steganography-Encryption mechanism employing DCT-DWT and Chaotic Network

机译:采用DCT-DWT和混沌网络的多层图像隐写加密机制

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摘要

In the present security scenario, implementing tele-health solutions has become an emerging trend at global level. It primarily focuses on employing latest information and communication technologies (ICT) to cater the requirements of people associated with the health industry, patients, and policy makers Hence there is a need for high end security for tele-health services. In the proposed work, biomedical image security has been addressed using a multi-layer approach. The propose system works on the Discrete Cosine Transform, Discrete Wavelet Transform (DWT) and Chaotic Neural Networks for biomedical image security to implement a steganogrpahy-encryption hybrid. The performance metrics have been chosen as Mean Square Error, Peak Signal to Noise Ratio, structural similarity index measure (SSIM) number of changing pixel rate (NPCR) and unified averaged changed intensity (UACI).
机译:在目前的安全方案中,实施远程健康解决方案已成为全球层面的新兴趋势。 它主要侧重于采用最新信息和通信技术(ICT)来满足与卫生行业,患者和决策者相关的人的要求,因此需要高端安全的远程卫生服务。 在所提出的工作中,使用多层方法解决了生物医学图像安全性。 提议系统适用于离散余弦变换,离散小波变换(DWT)和混沌神经网络,用于生物医学图像安全性,实现STEGANOGRPAHY加密混合动力。 性能指标已选择为均方误差,峰值信号到噪声比,结构相似性指数测量(SSIM)变化像素率(NPCR)和统一平均改变强度(UACI)。

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