Dautov Ruslan, Tsouri Gill R
IEEE J Biomed Health Inform. 2016 Jan;20(1):135-42. doi: 10.1109/JBHI.2014.2366125. Epub 2014 Oct 31.
Stringent resource constraints and broadcast transmission in wireless body area network raise serious security concerns when employed in biomedical applications. Protecting data transmission where any minor alteration is potentially harmful is of significant importance in healthcare. Traditional security methods based on public or private key infrastructure require considerable memory and computational resources, and present an implementation obstacle in compact sensor nodes. This paper proposes a lightweight encryption framework augmenting compressed sensing with wireless physical layer security. Augmenting compressed sensing to secure information is based on the use of the measurement matrix as an encryption key, and allows for incorporating security in addition to compression at the time of sampling an analog signal. The proposed approach eliminates the need for a separate encryption algorithm, as well as the predeployment of a key thereby conserving sensor node's limited resources. The proposed framework is evaluated using analysis, simulation, and experimentation applied to a wireless electrocardiogram setup consisting of a sensor node, an access point, and an eavesdropper performing a proximity attack. Results show that legitimate communication is reliable and secure given that the eavesdropper is located at a reasonable distance from the sensor node and the access point.
在生物医学应用中使用无线体域网时，严格的资源限制和广播传输引发了严重的安全问题。在医疗保健领域，保护数据传输（其中任何微小改动都可能有害）至关重要。基于公钥或私钥基础设施的传统安全方法需要大量内存和计算资源，并且在紧凑型传感器节点中存在实施障碍。本文提出了一种轻量级加密框架，通过无线物理层安全增强压缩感知。将压缩感知用于信息安全是基于将测量矩阵用作加密密钥，并允许在对模拟信号进行采样时除了压缩之外还纳入安全功能。所提出的方法无需单独的加密算法，也无需预先部署密钥，从而节省了传感器节点的有限资源。使用分析、模拟和实验对由传感器节点、接入点和执行近距离攻击的窃听者组成的无线心电图设置评估了所提出的框架。结果表明，鉴于窃听者与传感器节点和接入点保持合理距离，合法通信是可靠且安全的。
