Searchable　encryption　is　an　effective　way　to　ensure　the　security　and　availability　of　encrypted　outsourced　cloud　data.　Among　existing　solutions,　the　keyword　exact　search　solution　is　relatively　inflexible,　while　the　fuzzy　keyword　search　solution　either　has　a　high　index　overhead　or　suffers　from　the　false-positive.　Furthermore,　no　existing　fuzzy　keyword　search　solution　considers　the　homoglyph　search　on　encrypted　data.　In　this　paper,　we　propose　an　efficient　privacy-preserving　homoglyph　search　scheme　supporting　arbitrary　languages　(POSA,　in　short).　We　enhance　the　performance　of　the　fuzzy　keyword　search　in　three　aspects.　Firstly,　we　formulate　the　similarity　of　homoglyph　and　propose　a　privacy-preserving　homoglyph　search.　Secondly,　we　put　forward　an　index　build　mechanism　without　the　false-positive,　which　reduces　the　storage　overhead　of　the　index　and　is　suitable　for　arbitrary　languages.　Thirdly,　POSA　returns　just　the　user’s　search,　i.e.,　all　returned　documents　contain　the　search　keyword　or　its　homoglyph.　The　theoretical　analysis　and　experimental　evaluations　on　real-world　datasets　demonstrate　the　effectiveness　and　efficiency　of　POSA.　©　2022,　Higher　Education　Press.