Information　centric　network　(ICN)　based　Mobile　Edge　Computing　(MEC)　network　has　drawn　growing　attentions　in　recent　years.　The　distributed　network　architecture　brings　new　security　problems,　especially　the　identity　security　problem.　Because　of　the　cloud　platform　deployed　on　the　edge　of　the　MEC　network,　multiple　channel　attributes　can　be　easily　obtained　and　processed.　Thus　this　paper　proposes　a　multiple　channel　attributes　based　spoofing　detection　mechanism.　To　further　reduce　the　complexity,　we　also　propose　an　improved　clustering　algorithm.　The　simulation　results　indicate　that　the　proposed　spoofing　detection　method　can　provide　near-optimal　performance　with　extremely　low　complexity.　©　2018　IEEE.