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　article,　we　propose　a　comprehensive　public　auditing　scheme　(PDBPA)　that　can　simultaneously　support　data　privacy　protection,　data　dynamics,　and　multi-user　batch　auditing.　To　guarantee　privacy　protection　during　the　audit　process,　our　PDBPA　design　a　new　method　of　constructing　audit　proof,　which　combines　random　masking　techniques　and　bilinear　properties　of　bilinear　pairing.　Not　only　can　it　ensure　that　TPA　performs　audits　correctly,　but　it　can　also　prevent　it　from　exploring　the　user＇s　sensitive　data.　In　addition,　by　utilizing　the　modified　dynamic　hash　table,　which　is　a　novel　and　small　two-dimensional　data　structure,　data　dynamics　can　be　effectively　achieved.　Furthermore,　we　provide　a　detailed　process　for　the　third-party　auditors　to　perform　batch　audits　for　multiple　users.　Moreover,　we　give　the　detailed　and　rigorous　security　analysis　in　defending　against　forgery　attack,　replace　attack,　and　replay　attack.　Performance　evaluations　demonstrate　that　our　PDBPA　scheme　is　effective　and　feasible.