It　is　paramount　to　ensure　the　resilience　of　networked　critical　infrastructures,　which　are　vital　for　the　economic　development　and　our　daily　requirements　but　threatened　by　intentional　attacks.　For　this　purpose,　their　protection　before　and　restoration　after　intentional　attacks　are　of　great　significance.　Moreover,　in　order　to　keep　the　prescribed　demand　continuously　satisfied,　postdisruption　flow　redistribution　is　also　necessary.　However,　due　to　the　severity　of　intentional　attacks,　certain　components　may　need　to　be　overloaded　as　a　result　of　the　redistribution　and,　thus,　the　network　reliability　is　influenced.　To　minimize　such　influence,　we　first　present　a　new　metric　of　resilience　to　reflect　the　incurred　reliability　changes.　Then,　a　trilevel　optimization　model　integrating　protection,　restoration,　and　adaptive　flow　redistribution　to　maximize　the　network　resilience　is　proposed.　To　deal　with　the　complexity　of　the　proposed　problem,　an　evolutionary　algorithm　is　employed　with　necessary　adaption.