Non-cooperative Inference Method for the IoBT Topology Based on Flow Rate Estimation

The widespread integration of Internet of Things (IoT) technology in the military domain has brought significant attention to the security concerns surrounding the Internet of Battlefield Things(IoBT). Given the limited communication resources within IoBT, there's a growing focus on conducting network security detection without disrupting normal network operations. Topology serves as a crucial foundation for conducting network security detection in IoBT, facilitating the discovery of abnormal devices and unauthorized access detection. Security detection based on topology can effectively enhance the information security and operational levels of IoBT. This paper utilizes matching analysis of time series for information exchanged between neighboring nodes and implements IoBT topology inference based on flow rate estimation, and a threshold parameter adaptive adjustment strategy is innovatively proposed to improve the accuracy of topology inference. The non-cooperative inference method proposed in this paper enables network topology inference without network access and information parsing, exhibiting strong generality and independence from the discovery of acknowledgment frames during information exchange processes. Simulation results demonstrate the feasibility and superiority of this method.