User identity linkage(UIL)across online social networks seeks to match accounts belonging to the same real-world individual.This cross-platformmapping enables accurate user modeling but also raises serious privacy ris...User identity linkage(UIL)across online social networks seeks to match accounts belonging to the same real-world individual.This cross-platformmapping enables accurate user modeling but also raises serious privacy risks.Over the past decade,the research community has developed a wide range of UIL methods,from structural embeddings tomultimodal fusion architectures.However,corresponding adversarial and defensive approaches remain fragmented and comparatively understudied.In this survey,we provide a unified overview of both mapping and antimappingmethods for UIL.We categorize representativemappingmodels by learning paradigmand datamodality,and systematically compare them with emerging countermeasures including adversarial injection,structural perturbation,and identity obfuscation.To bridge these two threads,we introduce amodality-oriented taxonomy and a formal gametheoretic framing that casts cross-network mapping as a contest between mappers and anti-mappers.This framing allows us to construct a cross-modality dependency matrix,which reveals structural information as themost contested signal,identifies node injection as the most robust defensive strategy,and points to multimodal integration as a promising direction.Our survey underscores the need for balanced,privacy-preserving identity inference and provides a foundation for future research on the adversarial dynamics of social identity mapping and defense.展开更多
针对6G时代空天地一体化网络架构中空基网络无人集群对时延敏感型业务提出的确定性传输需求,提出一种基于跨层优化的确定性无人集群网络协议——LPCO(link-scheduling and path-planning based on cross-layer optimization)。该协议在...针对6G时代空天地一体化网络架构中空基网络无人集群对时延敏感型业务提出的确定性传输需求,提出一种基于跨层优化的确定性无人集群网络协议——LPCO(link-scheduling and path-planning based on cross-layer optimization)。该协议在中心节点控制的集中式架构下,融合链路状态感知、业务需求感知、显式路径规划和周期时隙调度等关键模块,实现了网络层路径选择与MAC层时隙分配的联合调度,构建了端到端的跨层协同优化机制。具体方法包括:在中心控制节点完成对全网拓扑感知后,通过基于链路过期时间(link expiration time, LET)进行链路预测,利用QoS加权目标函数实现路径规划,结合TDMA对路径节点动态分配时隙,确保关键业务在无人集群网络下的低延迟传输和高可靠性。通过在NS3仿真平台中与典型路由协议OLSR和DSDV对比验证,仿真实验结果表明:LPCO相较OLSR与DSDV协议,时敏业务的平均端到端时延分别降低了43.6%、40.7%;时敏业务的分组投递率提升了69.3%、73.5%;瞬时时延抖动控制在3 ms以内,部分数据包抖动接近0,在无人集群网络中展现出确定性服务保障能力与鲁棒性。展开更多
基金funded by the National Key R&D Program of China under Grant(No.2022YFB3102901)National Natural Science Foundation of China(Nos.62072115,62102094)Shanghai Science and Technology Innovation Action Plan Project(No.22510713600).
文摘User identity linkage(UIL)across online social networks seeks to match accounts belonging to the same real-world individual.This cross-platformmapping enables accurate user modeling but also raises serious privacy risks.Over the past decade,the research community has developed a wide range of UIL methods,from structural embeddings tomultimodal fusion architectures.However,corresponding adversarial and defensive approaches remain fragmented and comparatively understudied.In this survey,we provide a unified overview of both mapping and antimappingmethods for UIL.We categorize representativemappingmodels by learning paradigmand datamodality,and systematically compare them with emerging countermeasures including adversarial injection,structural perturbation,and identity obfuscation.To bridge these two threads,we introduce amodality-oriented taxonomy and a formal gametheoretic framing that casts cross-network mapping as a contest between mappers and anti-mappers.This framing allows us to construct a cross-modality dependency matrix,which reveals structural information as themost contested signal,identifies node injection as the most robust defensive strategy,and points to multimodal integration as a promising direction.Our survey underscores the need for balanced,privacy-preserving identity inference and provides a foundation for future research on the adversarial dynamics of social identity mapping and defense.
文摘针对6G时代空天地一体化网络架构中空基网络无人集群对时延敏感型业务提出的确定性传输需求,提出一种基于跨层优化的确定性无人集群网络协议——LPCO(link-scheduling and path-planning based on cross-layer optimization)。该协议在中心节点控制的集中式架构下,融合链路状态感知、业务需求感知、显式路径规划和周期时隙调度等关键模块,实现了网络层路径选择与MAC层时隙分配的联合调度,构建了端到端的跨层协同优化机制。具体方法包括:在中心控制节点完成对全网拓扑感知后,通过基于链路过期时间(link expiration time, LET)进行链路预测,利用QoS加权目标函数实现路径规划,结合TDMA对路径节点动态分配时隙,确保关键业务在无人集群网络下的低延迟传输和高可靠性。通过在NS3仿真平台中与典型路由协议OLSR和DSDV对比验证,仿真实验结果表明:LPCO相较OLSR与DSDV协议,时敏业务的平均端到端时延分别降低了43.6%、40.7%;时敏业务的分组投递率提升了69.3%、73.5%;瞬时时延抖动控制在3 ms以内,部分数据包抖动接近0,在无人集群网络中展现出确定性服务保障能力与鲁棒性。
