A Study On Network Coordinate System Construction And Performance Optimization Based On High-precision Spatiotemporal Information

Big data is profoundly affecting people's production methods,living habits,thinking patterns,and research methods.Big data is not only a front-of-the-range subject in the academia and industry,but has also become a national basic strategic resource.The leakage of privacy brought by big data brings serious losses and potential risks to users,which greatly undermines the social economic order and affects the industrialization and application of big data such as big government data,business big data,and healthy big data.At present,big data has risen as a national strategic resource,and protection of big data security and privacy is not only an international academic frontier,but also a major national strategic need.This project is devoted to the basic research of data protection,privacy protection,and digital watermark hiding in the network big data environment.It has important theoretical significance and application value.In the big data environment,due to the more extensive correlation of data,the original isolated information becomes private.At the same time,the data processed by traditional anonymous technologies,etc.,may still be analyzed after data mining and deep analysis through big data association.The privacy of users poses new challenges for privacy screening and privacy protection technologies in big data environments.Construction of network big data environment with high-precision spatio-temporal information:Based on the data and privacy protection theories and methods proposed in this project,and for location big data,the data of the spatiotemporal information in the big data environment is constructed through Beidou's high precision positioning time synchronization technology.Verification environment with privacy protection theory.Data analysis illustrates the prevalence of random delay pollution,introduces an existing random delay pollution suppression method MP-Filter,and proposes a TO-Filter random delay pollution suppression method.Two factors that degrade network performance are analyzed:random delay pollution phenomenon and TIV phenomenon.At the same time,several attacks that affect the security of off-center network coordinate system are introduced.Three existing network coordinate distance prediction algorithms for suppressing TIV phenomenon are analyzed,and their advantages and disadvantages are analyzed.At the same time,a stable suppression Vivaldi algorithm is briefly introduced.A stable suppression Vivaldi algorithm for suppressing random delay pollution and TIV phenomena was proposed.The accuracy of simulation and jitter suppression capability were analyzed through simulation experiments.