This　paper　focuses　on　the　problem　of　distributed　fault　detection　and　leader-following　output　consensus　for　heterogeneous　multiagent　systems　subject　to　deception　attacks.　During　the　information　exchange　and　dissemination,　a　malicious　attacker　can　make　full　use　of　specialized　computer　technology　and　launch　stochastic　deception　attacks　against　some　vulnerable　agents　over　the　network.　The　attack　signals　in　actual　operation　tend　to　be　energy-constrained,　and　Bernoulli　distribution　can　be　used　to　describe　the　random　features.　Taking　the　attack　information　into　account,　the　distributed　fault　detection　observer　and　the　dynamic　consensus　compensator　are　designed　in　two　separate　steps.　In　order　to　reduce　unnecessary　information　transmission,　a　dynamic　event-triggered　mechanism　with　output-dependent　threshold　is　introduced　to　the　adjustment　of　consensus　protocol.　According　to　Lyapunov　stability　theory　and　linear　matrix　inequality　(LMI)　techniques,　sufficient　conditions　are　derived　for　developing　the　model　gains　of　the　observer　and　the　compensator.　Finally,　a　simulation　example　of　RLC　circuit　systems　is　provided　to　illustrate　the　effectiveness　of　the　obtained　theoretical　results.