An　adaptive　event-triggered　control　strategy　for　non-strict　feedback　nonlinear　cyber-physical　systems　with　time　delays　against　deception　attacks　and　actuator　faults　is　presented.　The　most　prominent　difficulty　lies　in　after　the　system　signals　are　damaged　by　malicious　deception　attacks,　all　the　exact　states　in　the　system　are　unavailable.　Another　design　difficulty　is　the　common　existence　of　unknown　nonlinearities　and　time-varying　time　delays,　which　makes　it　difficult　to　get　the　desired　controller.　Thus,　to　stabilize　the　studied　cyber-physical　systems,　an　unusual　coordinate　transformation　is　presented,　where　the　attack　gains　and　the　problem　of　unavailability　of　states　are　considered　simultaneously.　Furthermore,　the　effect　of　the　malicious　deception　attacks　on　the　studied　system　is　tackled　by　using　Nussbaum　technology　and　designing　the　Lyapunov　functions　with　the　attack　gains.　The　unknown　nonlinear　functions,　the　mismatch　problem　for　the　control　input　caused　by　the　nonlinearities　of　time-varying　time　delays　are　processed　by　neural　networks　technology　and　Lyapunov-Krasovskii　functions.　As　a　result,　a　controller　based　on　event-triggered　mechanism　is　constructed　to　reduce　the　waste　of　communication　resources.　The　presented　control　strategy　can　ensure　the　signals　in　the　closed-loop　system　are　bounded.　Finally,　the　Matlab　simulation　experiments　are　showed　to　verify　the　effectiveness　of　the　developed　strategy.　Note　to　Practitioners-This　paper　studies　the　adaptive　event-triggered　control　strategy　for　non-strict　feedback　nonlinear　cyber-physical　systems　with　time　delay　under　deception　attacks　and　actuator　faults.　Cyber-physical　systems　are　widely　used　in　power　system,　aviation　system　and　other　practical　systems.　However,　due　to　the　openness　of　network　communication　channels,　attackers　are　prone　to　transmitting　incorrect　data　to　controllers　and　actuators,　resulting　in　unusable　system　states,　which　is　a　challenging　problem　to　ensure　system　stability　by　only　using　the　compromised　system　states.　In　addition,　the　safety　control　problem　of　cyber-physical　systems　with　time　delays　and　actuator　faults　is　investigated　simultaneously,　which　poses　significant　challenges　to　the　design　of　an　desired　controller.　Therefore,　by　constructing　Lyapunov　functions　and　designing　adaptive　laws,　not　only　the　system　under　deception　attacks　is　stabilized,　but　also　the　control　strategy　studied　is　made　more　practical.