In　a　given　system　network,　an　important　prerequisite　for　security　risk　control　is　how　to　accurately　calculate　the　impact　of　different　host　assets　in　the　topology　on　the　spread　of　attack　risk.　In　this　regard,　we　propose　a　comprehensive　asset　importance　assessment　model　for　critical　asset　protection.　First,　the　importance　of　local　static　assets　in　the　topology　was　evaluated　using　three　methods:　degree　centrality,　mediation　centrality,　and　closeness　centrality.　At　the　same　time,　PageRank　was　used　to　assess　the　importance　of　local　dynamic　assets　for　asset　level　changes.　By　combining　the　above　two　methods,　and　using　K-CORE　to　evaluate　the　core　position　of　the　host　in　the　network　topology　as　the　global　weight　indicator　of　the　importance　of　assets.　The　comprehensive　evaluation　results　of　the　importance　of　topology-oriented　assets　was　finally　obtained,　and　the　validity　of　the　model　was　verified　through　the　experiment　of　the　simulation　ER　random　network.　©　2019　Association　for　Computing　Machinery.