With　the　popularity　of　cloud　computing,　cloud　storage　technology　has　also　been　widely　used.　Among　them,　data　integrity　verification　is　a　hot　research　topic.　At　present,　the　realization　of　public　auditing　has　become　the　development　trend　of　integrity　verification.　Most　existing　public　auditing　schemes　rarely　consider　some　indispensable　functions　at　the　same　time.　Thus,　in　this　paper,　we　propose　a　comprehensive　public　auditing　scheme　(PDBPA)　that　can　simultaneously　realize　data　block　privacy　protection,　data　dynamics,　and　multi-　user　batch　auditing.　Our　PDBPA　scheme　is　implemented　in　bilinear　pairing.　By　adding　random　masking　in　the　audit　phase,　with　the　help　of　the　characteristics　of　homomorphic　verifiable　tags　(HVTs),　it　can　not　only　ensure　that　the　TPA　performs　the　audit　work　correctly,　but　also　prevent　it　from　exploring　the　user＇s　sensitive　data.　In　addition,　by　utilizing　the　modified　index　hash　table　(MIHT),　data　dynamics　can　be　effectively　achieved.　Furthermore,　we　provide　a　specific　process　for　the　TPA　to　perform　batch　audits　for　multiple　users.　Moreover,　we　formally　prove　the　security　of　the　scheme;　while　achieving　the　audit　correctness,　it　can　resist　three　types　of　attacks.　©　2021　IEEE.