This　article　mainly　considers　the　adaptive　secure　bipartite　consensus　tracking　control　(BCTC)　problem　for　nonlinear　multiagent　systems　(MASs)　under　false　data　injection　(FDI)　attacks　with　predefined　accuracy.　Since　FDI　attacks　produce　unknown　attack　gains,　which　increases　the　difficulty　of　the　controller　design,　an　adaptive　secure　control　strategy　is　given　based　on　the　essential　property　of　Nussbaum　functions.　By　improving　the　traditional　coordinate　transformation　in　the　current　literatures　that　can　only　achieve　unilateral　consensus　control,　a　backstepping-based　control　algorithm　is　put　forward　attaining　bilateral　consensus　control.　In　addition,　the　appropriate　Lyapunov　functions　are　generated　by　a　class　of　non-negative　functions　to　construct　the　adaptive　secure　bipartite　consensus　controllers,　which　not　only　makes　certain　that　the　bilateral　errors　ultimately　converge　to　a　predefined　interval,　but　also　guarantees　that　all　the　closed-loop　signals　within　the　investigated　system　are　bounded.　Conclusively,　a　practical　example　is　provided　to　validate　the　effectiveness　of　the　proposed　control　strategy.