With　the　rapid　development　of　location　services,　the　problem　of　privacy　disclosure　in　location　queries　is　becoming　more　and　more　severe.　A　variety　of　privacy　protection　algorithms　came　into　being.　To　overcome　the　shortcomings　of　K-anonymous,　spatial　anonymity,　location　blur　and　other　privacy　protection　methods,　a　location　nearest　neighbor　query　method　based　on　Voronoi　Mapagainst　continuous　multi-query　attacks　was　proposed.　Based　on　the　K-anonymous　idea　and　the　Voronoi　Map　algorithm,　the　K-user　anonymous　set　was　generated　by　the　trusted　third　party,　and　the　Vino　diagram　was　divided　by　the　point　of　interest　(POI)　stored　in　the　LBS　server.　The　relationship　matrix　was　generated　by　the　distance　between　the　user　and　the　POI.　The　discrete　Vino　chart　generated　by　the　K-anonymous　user　set　constituted　an　anonymous　space　to　resist　multi-query　attacks　and　protected　the　user＇s　location　from　privacy.　User　interest　point　query　privacy　was　protected　by　private　information　retrieval　technology.　While　ensuring　the　anonymity　of　the　relation　matrix,　the　singularity　of　the　semantics　of　user　and　l-diversity　was　by　dividing　the　set　with　different　Vino　diagrams.　By　the　method,　not　only　the　privacy　of　location　information　and　query　information　was　ensured,　but　also　the　process　of　security,　server-side　security　and　the　efficiency　of　the　query　were　guaranteed.　©　2018,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.