Event Detection on Monitoring Internet of Things Services by Fusing Multiple Observations
简介：Ensuring an information fabric safe is cri-tical and mandatory.For its related Internet of Things(IoT)service system running on the open Internet,ex-isting host-based monitoring methods may fail due to only inspecting software,and the physical system may not be able to be protected.In this paper,a non-intrusive virtual machine(VM)-based runtime protec-tion framework is provided to protect the physical system with the isolated IoT services as a control-ling means.Compared with existing solutions,the framework gets inconsistent and untrusted observation knowledge from multiple observation sources,and en-forces property policies concurrently and incremen-tally in a competing-game way to avoid compositional problems.In addition,the monitoring is implemented without any modification to the protected system.Ex-periments are conducted to validate the proposed tech-niques.展开
学者：MaoYanfangZhangYangChengBoZHAOShuaiChenJunliang
关键词：anomaly knowledge checkingIoT ser-viceruntime monitoring
在线出版日期：2026-03-17 （网站首发日期）
