Searchable　encryption　(SE)　allows　cloud　tenants　to　retrieve　encrypted　data　while　preserving　data　confidentiality　securely.　Many　SE　solutions　have　been　designed　to　improve　efficiency　and　security,　but　most　of　them　are　still　susceptible　to　insider　Keyword-Guessing　Attacks　(KGA),　which　implies　that　the　internal　attackers　can　guess　the　candidate　keywords　successfully　in　an　off-line　manner.　Also　in　existing　SE　solutions,　a　semi-honest-but-curious　cloud　server　may　deliver　incorrect　search　results　by　performing　only　a　fraction　of　retrieval　operations　honestly　(e.g.,　to　save　storage　space).　To　address　these　two　challenging　issues,　we　first　construct　the　basic　Verifiable　SE　Framework　(VSEF),　which　can　withstand　the　inside　KGA　and　achieve　verifiable　searchability.　Based　on　the　basic　VSEF,　we　then　present　the　enhanced　VSEF　to　support　multi-keyword　search,　multi-key　encryption　and　dynamic　updates　(e.g.,　data　modification,　data　insertion,　and　data　deletion)　at　the　same　time,　which　highlights　the　importance　of　practicability　and　scalability　of　SE　in　real-world　application　scenarios.　We　conduct　extensive　experiments　using　the　Enron　email　dataset　to　demonstrate　that　the　enhanced　VSEF　achieves　high　efficiency　while　resisting　to　the　inside　KGA　and　supporting　the　verifiability　of　search　results.