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.　(c)　2022　The　Franklin　Institute.　Published　by　Elsevier　Ltd.　All　rights　reserved.