Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran 159163-4311, Iran.
College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China.
Sensors (Basel). 2020 Feb 17;20(4):1088. doi: 10.3390/s20041088.
Wireless Body Area Network (WBAN) is a highly promising technology enabling health providers to remotely monitor vital parameters of patients via tiny wearable and implantable sensors. In a WBAN, medical data is collected by several tiny sensors and usually transmitted to a server-side (e.g., a cloud service provider) for long-term storage and online/offline processing. However, as the health data includes several sensitive information, providing confidentiality and fine-grained access control is necessary to preserve the privacy of patients. In this paper, we design an attribute-based encryption (ABE) scheme with lightweight encryption and decryption mechanisms. Our scheme enables tiny sensors to encrypt the collected data under an access control policy by performing very few computational operations. Also, the computational overhead on the users in the decryption phase is lightweight, and most of the operations are performed by the cloud server. In comparison with some excellent ABE schemes, our encryption mechanism is more than 100 times faster, and the communication overhead in our scheme decreases significantly. We provide the security definition for the new primitive and prove its security in the standard model and under the hardness assumption of the decisional bilinear Diffie-Hellman (DBDH) problem.
无线体域网 (WBAN) 是一项极具前景的技术,能够使医疗服务提供者通过微小的可穿戴和可植入传感器远程监测患者的重要参数。在 WBAN 中,医疗数据由多个微型传感器收集,通常传输到服务器端(例如,云服务提供商)进行长期存储和在线/离线处理。然而,由于健康数据包含若干敏感信息,因此需要提供保密性和细粒度的访问控制,以保护患者的隐私。在本文中,我们设计了一种具有轻量级加密和解密机制的基于属性的加密 (ABE) 方案。我们的方案通过执行很少的计算操作,使微型传感器能够根据访问控制策略对所收集的数据进行加密。此外,在解密阶段,用户的计算开销较轻,并且大多数操作都由云服务器执行。与一些优秀的 ABE 方案相比,我们的加密机制快 100 多倍,并且我们方案中的通信开销显著减少。我们为新原语提供了安全定义,并在标准模型和决策双线性 Diffie-Hellman (DBDH) 问题的困难性假设下证明了其安全性。