Smart　meters　are　deployed　in　the　smart　grid　to　achieve　bidirectional　communication,　the　control　center　can　monitor,　predict　energy　consumption　data　in　real-time,　and　adjust　energy　supply　dynamically.　Unfortunately,　real-time　data　may　divulge　users　private　information.　To　protect　the　privacy　of　real-time　data,　data　aggregation　schemes　have　been　proposed　to　assist　the　control　center　in　adjusting　the　supply　to　meet　users　electricity　demands　without　sacrificing　data　privacy.　However,　extreme　weather　events　and　potential　attacks　may　damage　the　meters　and　change　the　structure　of　the　smart　grid　dynamically,　it　is　important　to　improve　the　reliability　of　the　data　aggregation　scheme.　Even　if　some　schemes　have　improved　reliability,　but　the　scalability　is　poor,　they　are　not　suitable　for　the　dynamically　changing　smart　grid　network　structure.　To　meet　this　end,　a　resilient　data　aggregation　scheme　for　the　smart　grid　is　proposed,　which　(1)　offers　better　reliability　by　defending　against　malicious　attacks,　group　management　techniques　are　proposed,　and　meters　can　update　their　keys　when　the　smart　grid　network　structure　changes;　(2)　affords　higher　scalability;　(3)　enables　the　control　center　to　make　fine-grained　adjustments.　A　prototype　implementation　shows　that　the　proposed　scheme　is　efficient　enough　for　smart　meters.　IEEE