The reliability of wireless sensor networks (WSN) is getting increasing importance as this kind of networks are becoming the communication base for many cyber-physical systems (CPS). Such systems rely on sensor data correctness to make decisions; therefore, faulty data can lead such systems to take wrong actions. Errors can be originated by sensor’s hardware failures or software bugs and also from the intentional interference of intruders. The gateways that connect such WSN to the Internet are natural intruders’ targets as they usually run conventional operating systems and communication protocols. This work proposes a confidence attribution scheme, based on lightweight predictors running on the sensors. The solution also proposes a parameterizable formula, in order to stamp every value sent by a sensor with a confidence level, calculated upon the values of a subset of correlated sensors. This work also presents an algorithm that can identify a defective sensor into its subset. The use of predictors and confidence attribution are proposed as the basis of a mechanism that increases the WSN resilience against sensor failure or bad data injection by intruders. Several simulations were performed to evaluate the detection efficiency against different types of sensor errors. This work also analyses mechanisms to deal with concept drifts in the WSN lifetime.

中文翻译：

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通过置信归因提高传感器可靠性

无线传感器网络 (WSN) 的可靠性变得越来越重要，因为这种网络正在成为许多网络物理系统 (CPS) 的通信基础。此类系统依赖于传感器数据的正确性来做出决策；因此，错误的数据会导致此类系统采取错误的行动。错误可能源于传感器的硬件故障或软件错误，也可能源于入侵者的故意干扰。将此类 WSN 连接到 Internet 的网关是自然入侵者的目标，因为它们通常运行传统的操作系统和通信协议。这项工作提出了一种基于在传感器上运行的轻量级预测器的置信归因方案。该解决方案还提出了一个可参数化的公式，以便用置信度标记传感器发送的每个值，根据相关传感器子集的值计算。这项工作还提出了一种算法，可以将有缺陷的传感器识别到其子集中。预测器和置信属性的使用被提议作为一种机制的基础，该机制增加了 WSN 对传感器故障或入侵者错误数据注入的弹性。进行了多次模拟以评估针对不同类型传感器错误的检测效率。这项工作还分析了处理 WSN 生命周期中概念漂移的机制。进行了多次模拟以评估针对不同类型传感器错误的检测效率。这项工作还分析了处理 WSN 生命周期中概念漂移的机制。进行了多次模拟以评估针对不同类型传感器错误的检测效率。这项工作还分析了处理 WSN 生命周期中概念漂移的机制。