This　paper　is　concerned　with　false　signal　injection　attack　detection　mechanism　using　a　novel　distributed　event-triggered　filtering　for　cyber　physical　systems　over　sensor　networks.　By　the　Internet　of　Things,　the　classic　physical　systems　are　transformed　to　the　networked　cyber　physical　systems,　which　are　built　with　a　large　number　of　distributed　networked　sensors.　In　order　to　save　the　precious　network　resources,　a　novel　distributed　event-triggered　strategy　is　proposed.　Under　this　strategy,　to　generate　the　localized　residual　signals,　the　event-triggered　distributed　fault　detection　filters　are　proposed.　By　Lyapunov-Krasovskii　functional　theory,　the　distributed　fault　detection　filtering　problem　can　be　formulated　as　stability　and　an　H-infinity　performance　of　the　residual　system.　Furthermore,　a　sufficient　condition　is　derived　such　that　the　resultant　residual　system　is　stable　while　the　transmission　of　the　sampled　data　is　reduced.　Based　on　this　condition,　the　codesign　method　of　the　fault　detection　filters　and　the　transmission　strategy　is　proposed.　An　illustrative　example　is　given　to　show　the　effectiveness　of　the　proposed　method.