论文标题
使用区块链对物联网的轻巧协作异常检测
Lightweight Collaborative Anomaly Detection for the IoT using Blockchain
论文作者
论文摘要
由于它们的快速增长和部署，物联网（IoT）已成为我们日常生活的中心方面。不幸的是，物联网设备往往具有许多攻击者可以利用的漏洞。无监督的技术（例如异常检测）可用于以插件和保护方式保护这些设备。 但是，必须长时间训练异常检测模型才能捕获所有良性行为。此外，异常检测模型容易受到对抗攻击的影响，因为在训练阶段，所有观察结果都被认为是良性的。在本文中，我们提出了（1）一种新型的异常检测方法，（2）轻巧的框架，该框架利用区块链在分布式环境中集成了异常检测模型。 区块链框架通过在IoT设备之间的自我目录和共识来逐步更新受信任的异常检测模型。我们在分布式的IoT仿真平台上评估我们的方法，该平台由48个覆盆子PI组成。模拟说明了该方法如何增强每个设备的安全性以及整个网络的安全性。
Due to their rapid growth and deployment, the Internet of things (IoT) have become a central aspect of our daily lives. Unfortunately, IoT devices tend to have many vulnerabilities which can be exploited by an attacker. Unsupervised techniques, such as anomaly detection, can be used to secure these devices in a plug-and-protect manner. However, anomaly detection models must be trained for a long time in order to capture all benign behaviors. Furthermore, the anomaly detection model is vulnerable to adversarial attacks since, during the training phase, all observations are assumed to be benign. In this paper, we propose (1) a novel approach for anomaly detection and (2) a lightweight framework that utilizes the blockchain to ensemble an anomaly detection model in a distributed environment. Blockchain framework incrementally updates a trusted anomaly detection model via self-attestation and consensus among the IoT devices. We evaluate our method on a distributed IoT simulation platform, which consists of 48 Raspberry Pis. The simulation demonstrates how the approach can enhance the security of each device and the security of the network as a whole.
