the School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731ChinaChina Electronics Technology Cyber Security Co.Ltd. Chengdu 610000China
摘要:
Graph data publication has been considered as an important step for data analysis and *** data,which provide knowledge on interactions among entities,can be locally generated and held by distributed data *** data are usually sensitive and private,because they may be related to owners’personal activities and can be hijacked by adversaries to conduct inference *** solutions either consider private graph data as centralized contents or disregard the overlapping of graphs in distributed ***,this work proposes a novel framework for distributed graph *** this framework,differential privacy is applied to justify the safety of the published *** includes four phases,i.e.,graph combination,plan construction sharing,data perturbation,and graph *** published graph selection is guided by one data coordinator,and each graph is perturbed carefully with the Laplace *** problem of graph selection is formulated and proven to be ***,a heuristic algorithm is proposed for *** correctness of the combined graph and the differential privacy on all edges are *** study also discusses a scenario without a data coordinator and proposes some insights into graph publication.
摘要:
Faraday rotation (FR) affects the low-frequency transionospheric radar by creating cross-talk between polarizations. The baseline part of FR can be compensated for by applying an appropriate linear transformation-rotation with a known FR angle. Yet the differential Faraday rotation (dFR), which is a frequency-dependent part of FR, persists and introduces distortions into the observations. We build a simplified model with two polarimetric scattering channels that allows us to evaluate the effect of dFR on the accuracy of PolInSAR reconstruction. We also assess the severity of distortions due to dFR for the future BIOMASS mission and several other spaceborne radar systems.