Cognitive　Industrial　Internet　of　Things　(CIIoT)　permits　Secondary　Users　(SUs)　to　use　the　spectrum　bands　owned　by　Primary　Users　(PUs)　opportunistically.　However,　in　the　absence　of　the　PUs,　the　selfish　SUs　could　mislead　the　normal　SUs　to　leave　the　spectrum　bands　by　initiating　a　Primary　User　Emulation　Attack　(PUEA).　In　addition,　the　application　of　Energy　Harvesting　(EH)　technology　can　exacerbate　the　threat　of　security.　Because　the　energy　cost　of　initiating　a　PUEA　is　offset　to　some　extent　by　EH　technology　which　can　proactively　replenish　the　energy　of　the　selfish　nodes.　Thus,　EH　technology　can　increase　the　motivation　of　the　selfish　SUs　to　initiate　a　PUEA.　To　address　the　higher　motivation　of　the　selfish　SUs　attacking　in　CIIoT　scenario　where　the　EH　technology　is　applied,　in　this　paper,　an　EH-PUEA　system　model　is　first　established　to　study　the　security　countermeasures　in　this　severe　scenario　of　PUEA　problems.　Next,　a　new　reward　and　punishment　defense　management　mechanism　is　proposed,　and　then　the　dynamics　of　the　selfish　SUs　and　the　normal　SUs　in　a　CIIoT　network　are　studied　based　on　Evolutionary　Game　Theory　(EGT),　and　the　punishment　parameter　is　adjusted　according　to　the　dynamics　of　the　selfish　SUs　to　reduce　the　proportion　of　the　selfish　SUs’　group　choosing　an　attack　strategy,　so　as　to　increase　the　throughput　achieved　by　the　normal　SUs’　group.　Finally,　the　simulation　results　show　that　the　proposed　mechanism　is　superior　to　the　conventional　mechanism　in　terms　of　throughput　achieved　by　the　normal　SUs’　group　in　CIIoT　scenario　with　EH　technology　applied.　IEEE