To　alleviate　the　restriction　of　system　model　on　control　design,　data-driven　model-free　adaptive　control　(MFAC)　is　an　excellent　alternative　to　model-based　control　methods.　This　paper　studies　event-triggered　data-driven　control　for　switched　systems　over　a　vulnerable　and　resource-constrained　network.　The　system　is　transformed　into　an　equivalent　switched　data　model　through　dynamic　linearization.　Resource　constraints　and　denial　of　service　(DoS)　attacks　in　the　network　are　concerned,　and　a　novel　joint　anti-attack　method　including　resilient　event-triggering　mechanism　and　prediction　scheme　is　presented.　Furthermore,　new　event-triggered　MFAC　algorithms　are　proposed.　In　this　scenario,　by　constructing　a　Lyapunov　functional　on　tracking　error,　sufficient　conditions　to　ensure　its　boundedness　are　derived.　This　is　the　first　time　in　the　literature　to　give　a　complete　solution　to　data-driven　control　of　switched　systems.　At　last,　the　validity　of　new　algorithms　and　theoretical　results　is　confirmed　by　simulations.　©　2022　The　Franklin　Institute