Research On ABAC Model Of Integrated Trust Model For Smart Home

As one of the applications of the Internet of Things,the number of terminal devices in smart homes has increased,and data is shared within and outside the home,increasing the risk of privacy leakage.However,current access control schemes are limited in applications in smart home environments with high personnel mobility and open flexibility,and the granularity of permission control is not detailed enough to protect the privacy of home users.Traditional access control mechanisms can only verify the legitimacy of devices and cannot prevent internal attacks.To address these issues,this dissertation proposes an Attribute Based Access Control(ABAC)scheme that combines trust evaluation.It utilizes a trust model to establish trust relationships between devices,effectively resisting internal malicious attacks,and achieving access control for untrusted devices in isolated environments.The specific work is as follows:(1)This dissertation designs a suitable trust model for smart homes to address the security and privacy issues faced by smart home systems during data exchange and sharing.A hybrid trust evaluation architecture for smart homes was designed by combining trust models with the architecture of smart homes,and each component was optimized.When calculating trust values,multiple calculation methods such as direct trust calculation,indirect trust calculation,and comprehensive trust calculation are used,which improves the accuracy of trust value calculation.In addition,various mathematical methods such as Bayesian distribution,time decay function,dynamic time window,and clustering algorithm were also adopted to further improve the accuracy of the trust model,accelerate the convergence speed,and enhance its anti attack ability.(2)This dissertation proposes an ABAC model that combines trust assessment based on trust assessment.This model combines the trust model with the standard ABAC model,aiming to eliminate internal malicious nodes while implementing access control.This dissertation clearly defines each concept in the integrated model and adds trust as one of the entities and trust attributes as one of the attributes to the model.In order to meet the privacy protection needs of smart homes,sensitivity calculation has also been introduced.Finally,this dissertation couples the components in the trust model architecture with those in the ABAC model,and establishes an ABAC model that combines trust evaluation for smart homes,further improving the security and privacy of smart home systems.(3)This dissertation verifies the feasibility and effectiveness of the proposed ABAC model combined with trust evaluation in smart home scenarios by conducting experiments on trust models and access control models.In the experiment of the trust model part,this dissertation conducted simulation experiments based on the ns-3 platform to verify the accuracy,convergence speed,and anti attack ability of the model.This dissertation establishes an experimental framework for the ABAC model combined with trust assessment on a local platform,verifies the functionality of each component,and focuses on testing the effectiveness of sensitivity,response time of access control,and energy consumption.In addition,this dissertation also built a simulated smart home system in a real environment to further verify the application value of the proposed trust model and access control model.