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A biometric based authentication and encryption Framework for Sensor Health Data in Cloud

机译:基于生物特征的身份验证和加密框架,用于云中的传感器健康数据

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摘要

Use of remote healthcare monitoring application (HMA) can not only enable healthcare seeker to live a normal life while receiving treatment but also prevent critical healthcare situation through early intervention. For this to happen, the HMA have to provide continuous monitoring through sensors attached to the patient's body or in close proximity to the patient. Owing to elasticity nature of the cloud, recently, the implementation of HMA in cloud is of intense research. Although, cloud-based implementation provides scalability for implementation, the health data of patient is super-sensitive and requires high level of privacy and security for cloud-based shared storage. In addition, protection of real-time arrival of large volume of sensor data from continuous monitoring of patient poses bigger challenge. In this work, we propose a self-protective security framework for our cloud-based HMA. Our framework enable the sensor data in the cloud from (1) unauthorized access and (2) self-protect the data in case of breached access using biometrics. The framework is detailed in the paper using mathematical formulation and algorithms.
机译:使用远程医疗保健监视应用程序(HMA)不仅可以使寻求医疗保健的人在接受治疗的同时过上正常的生活,而且还可以通过早期干预来预防紧急医疗情况。为此,HMA必须通过连接到患者身体或患者附近的传感器提供连续监控。由于云的弹性性质,最近,HMA在云中的实施正在深入研究。尽管基于云的实施为实施提供了可伸缩性,但是患者的健康数据非常敏感,并且对于基于云的共享存储需要高级别的隐私和安全性。另外,保护大量传感器数据的实时到达不受连续监测患者的挑战更大。在这项工作中,我们为基于云的HMA提出了一种自我保护的安全框架。我们的框架使云中的传感器数据免受(1)未经授权的访问,并且(2)在使用生物识别技术的访问遭到破坏的情况下,对数据进行自我保护。本文使用数学公式和算法详细说明了该框架。

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