The research community and digital sector are currently engaged in the development of diverse services within the metaverse ecosystems.Conversely,as concerns about safeguarding personal privacy mount,individuals antic...The research community and digital sector are currently engaged in the development of diverse services within the metaverse ecosystems.Conversely,as concerns about safeguarding personal privacy mount,individuals anticipate exercising greater authority over the way third parties make use of sensitive information,such as medical data.This study aims to develop tools that can facilitate the provision of healthcare services within the metaverse ecosystem in a safe and trustworthy way.This project proposes a trust framework for digital healthcare applications to run in a metaverse environment.The framework is based on the use of self-sovereign identity(SSI)and has been tested on the design principles outlined for the SSI-based architecture.This study outlines two use-case scenarios that can serve as foundations for implementing a trust framework.展开更多
In cloud computing environment, as the infrastructure not owned by users, it is desirable that its security and integrity must be protected and verified time to time. In Hadoop based scalable computing setup, malfunct...In cloud computing environment, as the infrastructure not owned by users, it is desirable that its security and integrity must be protected and verified time to time. In Hadoop based scalable computing setup, malfunctioning nodes generate wrong output during the run time. To detect such nodes, we create collaborative network between worker node (i.e. data node of Hadoop) and Master node (i.e. name node of Hadoop) with the help of trusted heartbeat framework (THF). We propose procedures to register node and to alter status of node based on reputation provided by other co-worker nodes.展开更多
针对现有无线传感器网络的信任模型未考虑风险因素,导致不能有效处理恶意节点攻击的问题,采用一种基于风险评价的信任模型(Risk evaluation based trust model,RBTM)。RBTM的框架由检测模块、信任计算模块和决策模块组成,并考虑上下文...针对现有无线传感器网络的信任模型未考虑风险因素,导致不能有效处理恶意节点攻击的问题,采用一种基于风险评价的信任模型(Risk evaluation based trust model,RBTM)。RBTM的框架由检测模块、信任计算模块和决策模块组成,并考虑上下文因素的影响。计算信任度时同时考虑推荐信誉值和风险值的影响;风险值的计算借用风险评估函数和风险信誉调节函数实现。研究结果表明:RBTM能够有效抵抗恶意节点的攻击,与已有的信任模型相比具有更大的灵敏性,较大程度地提高了对恶意行为的检测成功率,可以使节点之间更有效地建立信任关系。展开更多
文摘The research community and digital sector are currently engaged in the development of diverse services within the metaverse ecosystems.Conversely,as concerns about safeguarding personal privacy mount,individuals anticipate exercising greater authority over the way third parties make use of sensitive information,such as medical data.This study aims to develop tools that can facilitate the provision of healthcare services within the metaverse ecosystem in a safe and trustworthy way.This project proposes a trust framework for digital healthcare applications to run in a metaverse environment.The framework is based on the use of self-sovereign identity(SSI)and has been tested on the design principles outlined for the SSI-based architecture.This study outlines two use-case scenarios that can serve as foundations for implementing a trust framework.
文摘In cloud computing environment, as the infrastructure not owned by users, it is desirable that its security and integrity must be protected and verified time to time. In Hadoop based scalable computing setup, malfunctioning nodes generate wrong output during the run time. To detect such nodes, we create collaborative network between worker node (i.e. data node of Hadoop) and Master node (i.e. name node of Hadoop) with the help of trusted heartbeat framework (THF). We propose procedures to register node and to alter status of node based on reputation provided by other co-worker nodes.
文摘针对现有无线传感器网络的信任模型未考虑风险因素,导致不能有效处理恶意节点攻击的问题,采用一种基于风险评价的信任模型(Risk evaluation based trust model,RBTM)。RBTM的框架由检测模块、信任计算模块和决策模块组成,并考虑上下文因素的影响。计算信任度时同时考虑推荐信誉值和风险值的影响;风险值的计算借用风险评估函数和风险信誉调节函数实现。研究结果表明:RBTM能够有效抵抗恶意节点的攻击,与已有的信任模型相比具有更大的灵敏性,较大程度地提高了对恶意行为的检测成功率,可以使节点之间更有效地建立信任关系。
