This　paper　studies　the　event-triggered　control　for　uncertain　switched　systems　under　injection　attacks.　An　adaptive　event-triggered　control　method　for　neural　network-approximated　switched　systems　(NNA-SSs)　is　proposed.　The　main　works　are　as　follows:　First,　a　neural　network　is　introduced　to　approximate　the　uncertain　nonlinear　item　of　the　systems.　Second,　the　observer-based　adaptive　event-triggering　(OB-AET)　strategy　is　designed　to　efficiently　utilize　communication　and　computing　resources.　Furthermore,　the　closed-loop　switched　systems　considering　injection　attacks　are　established.　By　utilizing　the　Lyapunov　function　method　and　average　dwell　time　technique,　sufficient　conditions　for　the　exponential　stability　of　the　closed-loop　switched　systems　are　given.　Accordingly,　the　gains　of　the　state　feedback　controllers　and　observers　are　solved.　Finally,　simulation　examples　are　given　to　verify　the　effectiveness　of　the　proposed　method.