The　emerging　field　of　cloud　computing　is　still　evolving　with　the　immense　momentum　all　over　the　world.　Due　to　its　super-large　scale　and　unprecedented　computational　capabilities,　cloud　storage　is　selected　as　the　preferred　choice　for　individuals　and　organizations　to　store　extensive　amount　of　data.　However,　the　characteristics　of　cloud　computing　have　raised　issues　of　privacy　and　security.　To　protect　data　from　threats　related　to　privacy　and　security,　most　users　would　choose　searchable　encryption　as　a　solution　not　only　to　preserve　privacy　but　also　to　maintain　the　searchable　and　retrievable　functionality.　Although　many　searchable　encryption　schemes　over　cloud　computing　have　been　proposed　to　retrieve　encrypted　information,　they　seldom　take　sorting　search　results　into　consideration.　In　this　paper,　we　present　a　scheme　that　supports　fuzzy　keyword　search　and　result　ranking.　To　reduce　the　risk　of　data　leakage　and　enhance　security,　we　use　two　cloud　servers　to　store　the　encrypted　index　and　files　respectively.　This　novel　scheme　uses　posting　list　associated　with　trie-traverse　tree　to　build　a　secure　index　and　to　achieve　the　purpose　of　ranking.　Furthermore,　the　trapdoor　generation　process　combines　the　wildcard　and　dictionary　based　fuzzy　set　construction　to　support　fuzzy　search.　Simulation　results　show　that　the　proposed　method　is　feasible　and　efficient.