The Internet of Things(IoT)has characteristics such as node mobility,node heterogeneity,link heterogeneity,and topology heterogeneity.In the face of the IoT characteristics and the explosive growth of IoT nodes,which ...The Internet of Things(IoT)has characteristics such as node mobility,node heterogeneity,link heterogeneity,and topology heterogeneity.In the face of the IoT characteristics and the explosive growth of IoT nodes,which brings about large-scale data processing requirements,edge computing architecture has become an emerging network architecture to support IoT applications due to its ability to provide powerful computing capabilities and good service functions.However,the defense mechanism of Edge Computing-enabled IoT Nodes(ECIoTNs)is still weak due to their limited resources,so that they are susceptible to malicious software spread,which can compromise data confidentiality and network service availability.Facing this situation,we put forward an epidemiology-based susceptible-curb-infectious-removed-dead(SCIRD)model.Then,we analyze the dynamics of ECIoTNs with different infection levels under different initial conditions to obtain the dynamic differential equations.Additionally,we establish the presence of equilibrium states in the SCIRD model.Furthermore,we conduct an analysis of the model’s stability and examine the conditions under which malicious software will either spread or disappear within Edge Computing-enabled IoT(ECIoT)networks.Lastly,we validate the efficacy and superiority of the SCIRD model through MATLAB simulations.These research findings offer a theoretical foundation for suppressing the propagation of malicious software in ECIoT networks.The experimental results indicate that the theoretical SCIRD model has instructive significance,deeply revealing the principles of malicious software propagation in ECIoT networks.This study solves a challenging security problem of ECIoT networks by determining the malicious software propagation threshold,which lays the foundation for buildingmore secure and reliable ECIoT networks.展开更多
目的:检索、评价、整合国内外新生儿压力性损伤预防与管理的最佳证据,为临床规范管理新生儿压力性损伤提供循证依据。方法:系统检索BMJ Best Practice、UpToDate、国际指南协作网(GIN)、苏格兰校际指南网、加拿大安大略注册护士协会、th...目的:检索、评价、整合国内外新生儿压力性损伤预防与管理的最佳证据,为临床规范管理新生儿压力性损伤提供循证依据。方法:系统检索BMJ Best Practice、UpToDate、国际指南协作网(GIN)、苏格兰校际指南网、加拿大安大略注册护士协会、the Cochrane Library、澳大利亚Joanna Briggs Institute(JBI)循证卫生保健中心、PubMed、EMbase、医脉通、CINAHL、中国生物医学文献数据库(CBM)及中国知网等的指南、专家共识、证据总结、系统评价、临床决策、原始研究。检索时限为建库至2023年3月6日。由2名研究者对文献进行质量评价及证据提取。结果:共纳入15篇文献,包括指南6篇,专家共识1篇,系统评价2篇,原始研究5篇,证据总结1篇。汇总了包括评估、体位管理、医疗器械应用、预防、处置、人员管理6个方面,共20条证据。结论:本研究总结的新生儿压力性损伤预防与管理的最佳证据便于临床护理人员对患儿采取更有针对性的措施。展开更多
基金in part by National Undergraduate Innovation and Entrepreneurship Training Program under Grant No.202310347039Zhejiang Provincial Natural Science Foundation of China under Grant No.LZ22F020002Huzhou Science and Technology Planning Foundation under Grant No.2023GZ04.
文摘The Internet of Things(IoT)has characteristics such as node mobility,node heterogeneity,link heterogeneity,and topology heterogeneity.In the face of the IoT characteristics and the explosive growth of IoT nodes,which brings about large-scale data processing requirements,edge computing architecture has become an emerging network architecture to support IoT applications due to its ability to provide powerful computing capabilities and good service functions.However,the defense mechanism of Edge Computing-enabled IoT Nodes(ECIoTNs)is still weak due to their limited resources,so that they are susceptible to malicious software spread,which can compromise data confidentiality and network service availability.Facing this situation,we put forward an epidemiology-based susceptible-curb-infectious-removed-dead(SCIRD)model.Then,we analyze the dynamics of ECIoTNs with different infection levels under different initial conditions to obtain the dynamic differential equations.Additionally,we establish the presence of equilibrium states in the SCIRD model.Furthermore,we conduct an analysis of the model’s stability and examine the conditions under which malicious software will either spread or disappear within Edge Computing-enabled IoT(ECIoT)networks.Lastly,we validate the efficacy and superiority of the SCIRD model through MATLAB simulations.These research findings offer a theoretical foundation for suppressing the propagation of malicious software in ECIoT networks.The experimental results indicate that the theoretical SCIRD model has instructive significance,deeply revealing the principles of malicious software propagation in ECIoT networks.This study solves a challenging security problem of ECIoT networks by determining the malicious software propagation threshold,which lays the foundation for buildingmore secure and reliable ECIoT networks.
