ReLI:低功耗物联网系统中的实时轻量级拜占庭共识

H. Goyal, Manish Kausik H, S. Saha
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引用次数: 8

摘要

物联网/无线传感器网络辅助的智能系统在各个方面使我们的生活更轻松、更舒适。然而,在如此大规模的分散系统中,由于系统的一个或多个组件受到损害,总是有可能在关键时刻发生故障。例如,安装用于监视桥梁状态的监控系统可能会不知不觉地抑制由于某些传感设备受损而导致的最近状态恶化。拜占庭式容错支持在打击此类带有恶意意图的智能设备方面非常重要。然而,物联网/WSN系统中现有的共识或数据聚合解决方案要么假设非拜占庭节点故障,要么仅使用模拟/理论模型来解决拜占庭节点的存在。从理论上讲,去中心化系统可以有效地容忍一定比例节点的拜占庭特征。然而,为了实现这一点,节点需要广泛交互并相互共享数据,这使得这些解决方案难以实际实现并实时产生结果,特别是在资源受限的物联网系统中。在这项工作中,我们采用基于同步传输的机制,并提出了一个框架ReLI,以有效地在低功耗物联网系统中实现拜占庭共识。我们表明,在包含45个节点的公开可用IoT/WSN测试平台中,与传统的策略实施相比,ReLI的运行速度提高了80%,消耗的无线电启动时间减少了78%。
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ReLI: Real-Time Lightweight Byzantine Consensus in Low-Power IoT-Systems
IoT/WSN assisted smart-systems are making our living easier and more comfortable in various aspects. However, there is always a chance of malfunctioning in such massive decentralized systems in crucial moments because of one or more components of the system getting compromised. For instance, monitoring systems installed to watch the status of a bridge may unknowingly suppress the recent deterioration in the status because of some compromised sensing devices. Byzantine fault tolerance support is highly essential in combating the presence of such smart devices with malicious intentions. However, existing solutions for consensus or data aggregation in IoT/WSN systems either assume non-Byzantine node failures or use only simulation/theoretical models to address the existence of Byzantine nodes. Theoretically, a decentralized system can effectively tolerate Byzantine characteristics of up to a certain fraction of the nodes. However, to achieve even that, the nodes need to interact extensively and share data with each other which makes it challenging for such solutions to get practically realized and produce outcomes in real-time, especially in resource-constrained IoT systems. In this work, we adopt Synchronous-Transmission based mechanisms and propose a framework ReLI to efficiently achieve Byzantine consensus in low-power IoT systems. We show that ReLI can operate up to 80% faster and consume up to 78% lesser radio-on time compared to the traditional implementation of the strategy in a publicly available IoT/WSN testbed containing 45 nodes.
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