Current　data　trading　systems　only　support　plaintext　or　unaudited　private　transactions.　To　overcome　these,　we　present　a　confidential　batch　payment　scheme　with　integrated　auditing　for　enhanced　data　trading　security.　We　use　Castagnos-Laguillaumie　(CL)　homomorphic　encryption　and　batch　zero-knowledge　proofs　to　construct　the　scheme.　The　scheme　reduces　decryption　complexity　and　ciphertext　length　while　enabling　malicious　model　operations.　In　addition,　it　supports　efficient　batch　payments　to　multiple　recipients　and　includes　features　for　payment　statistic　analysis　and　auditing.　Experimental　results　indicate　that　the　system　efficiently　handles　encryption,　decryption,　and　auditing　tasks,　completing　each　operation　in　an　average　of　0.89,　1.55,　and　1.55　milliseconds,　respectively.