The Internet of Medical Things (IoMT) is an arising trend that provides a significant amount of efficient and effective services for patients as well as healthcare professionals for the treatment of disparate diseases. The IoMT has numerous benefits; however, the security issue still persists as a challenge. The lack of security awareness among novice IoMT users and the risk of several intermediary attacks for accessing health information severely endanger the use of IoMT. In this article, rooted elliptic curve cryptography with Vigenère cipher (RECC-VC) centered security amelioration on the IoMT is proposed for enhancing security. First, this work utilizes the exponential K-anonymity algorithm for privacy preservation. Second, a new improved Elman neural network (IENN) is proposed for analyzing the sensitivity level of data. The Gaussian mutated chimp optimization is employed for weight updating in this IENN. Finally, a novel RECC-VC is proposed for securely uploading the data to the cloud server. Additionally, data are stored in the cloud server using blockchain technology. In experimental analysis, the proposed methodologies attain better results than the prevailing methods. The proposed IENN model achieves an accuracy of 96% and is validated against state-of-the-art methods. Also, the proposed RECC-VC attains 98% of the security level.

中文翻译：

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ANAF-IoMT：基于 RECC-VC 增强安全性的 IoMT 智能医疗系统新型架构框架


医疗物联网 (IoMT) 是一种新兴趋势，为患者和医疗保健专业人员提供大量高效、有效的服务来治疗不同的疾病。 IoMT 有很多好处；然而，安全问题仍然是一个挑战。物联网新手用户缺乏安全意识，以及访问健康信息时存在多次中间人攻击的风险，严重危及物联网的使用。在本文中，提出了以维吉尼亚密码 (RECC-VC) 为中心的 IoMT 安全改进的根椭圆曲线加密技术来增强安全性。首先，本工作利用指数K-匿名算法进行隐私保护。其次，提出了一种新的改进的Elman神经网络（IENN）来分析数据的敏感性水平。该 IENN 中采用高斯变异黑猩猩优化来进行权重更新。最后，提出了一种新颖的 RECC-VC，用于将数据安全上传到云服务器。此外，数据使用区块链技术存储在云服务器中。在实验分析中，所提出的方法比主流方法获得了更好的结果。所提出的 IENN 模型的准确度达到 96%，并针对最先进的方法进行了验证。此外，所提出的 RECC-VC 达到了 98% 的安全级别。