Security challenges and countermeasures of LLMs'application to smart home
SHAO Yan
LU Haijun
LUO Hong
Abstract：The rapid development of generative LLMs,represented by the GPT series,has profoundly changed intelligent interactive products and services.Compared to traditional models,LLMs have new security issues such as hallucination,vulnerability to attacks,and uninterpretability,which significantly hinders their practical applications.Among various application scenarios,smart home has higher requirements for security due to its association with multiple devices and a diverse range of target users.This paper focuses on this scenario,analyzing the three major security issues of content,devices,and privacy that LLMs face in the application of smart homes.Additionally,the targeted solutions are proposed accordingly,which aims to the establishment of the new generation smart home ecosystem that are secure,intelligent,personalized and diversified.
Keywords：AI securityLarge language modelsLLM applicationSmart home
Publication Date：2025-04-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 94-97,103 )