A Security Framework for Internet of Things Systems Based on Dynamic Watermarking for Data Packet Authentication and Anomaly Detection
Lei Gu · 2023
With the widespread use of Internet of Things (IoT) technology in the supply chain, the threat of attacks targeting the transmission of IoT data packets is getting more serious. Existing solutions used in traditional network security cannot be deployed in IoT networks due to the simple structure and low computational capacity of IoT devices. Hence, an IoT-specific security framework is required. This paper presents a security framework for IoT networks that includes a dynamic watermark authentication and detection module as well as an anomalous cause analysis module. The former employs the Long Short-Term Memory (LSTM) method to extract features from transmitted data packets, creating watermarks dynamically to encrypt data and detect attacks during transmission. The latter introduces the game theory to model the interactions between the attacker and the gateway on each IoT device in the network to analyze the root anomaly cause and the most vulnerable device to attack. Simulation results have shown the effectiveness of the proposed framework.