Under　spatially　point　measurements　(SPMs),　this　paper　addresses　event-triggered　sampled-data　(ETSD)　fuzzy　secure　control　for　nonlinear　space-varying　parabolic　partial　differential　equation　(PDE)　systems　with　stochastic　actuator　failures　and　deception　attacks.　Initially,　a　T-S　fuzzy　PDE　model　is　presented　to　exactly　describe　the　nonlinear　space-varying　parabolic　PDE　systems　subject　to　stochastic　actuator　failures　and　deception　attacks.　Secondly,　in　order　to　reduce　the　unnecessary　sampled-data　and　adapt　to　the　variation　of　system　dynamics　subject　to　stochastic　actuator　failures　and　deception　attacks,　an　ETSD　fuzzy　secure　control　scheme　is　proposed　under　SPMs.　Then,　by　constructing　an　appropriate　Lyapunov　functional,　the　mean　square　exponential　stability　conditions　of　closed-loop　nonlinear　space-varying　parabolic　PDE　systems　via　spatial　linear　matrix　inequalities　(SLMIs)　are　presented.　Furthermore,　to　solve　SLMIs,　the　ETSD　fuzzy　secure　control　design　problem　for　nonlinear　space-varying　parabolic　PDE　systems　under　SPMs　with　stochastic　actuator　failures　and　deception　attacks　is　formulated　as　an　linear　matrix　inequality　feasibility　problem.　Finally,　simulation　results　of　two　examples　are　presented　to　demonstrate　the　effectiveness　of　the　proposed　design　approach.