The　Internet　of　Things　connects　a　large　number　of　real　objects　with　the　Internet　through　a　variety　of　sensing　technologies　and　it　is　a　network　that　implements　the　concept　of　connected　objects.　However,　as　a　new　concept　of　network,　because　of　its　large　number　and　variety　of　terminals,　wide　range　of　distribution,　the　traditional　security　mechanisms　are　not　adapted　to　the　Internet　of　Things　(IoT)　architecture,　and　the　existed　researches　use　the　static　information　of　sensing　nodes　to　measure　and　judge　the　trust　of　sensing　nodes.　It　results　the　real-time　trust　of　Internet　of　Things　hard　to　be　judged.　Therefore,　this　paper　purposes　a　behavioral　measurement　model　suitable　for　the　sensing　nodes　of　Internet　of　Things　to　make　up　the　insufficient　of　existed　sensing　nodes　measurement　mechanism　of　Internet　of　Things.　This　model　is　designed　for　the　Internet　of　Things,　and　bases　on　the　identity　authentication　and　the　static　measurement　to　measure　the　behavior　of　sensing　nodes.　It　through　designs　different　behavior　measurement　functions　to　assess　and　calculate　the　behavior　of　sensing　nodes　synthetically.　According　to　divide　the　trusted　level　of　sensing　nodes,　this　model　can　defense　the　attacks,　such　as　the　node　hijacking　attack,　the　physical　capture　attacks　and　the　denial　of　service　attacks.　©　2019,　Springer　Nature　Singapore　Pte　Ltd.