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In cloud storage, remote data integrity checking is critical. Clients may be compelled to check whether their outsourced data is preserved without downloading the entire set. Clients may be required to store their data on multiple cloud Servers in certain application scenarios. In addition, the integrity checking procedure needs to be cost-effective in order to save the verifier money. From these two points, we propose a brand-new remote data integrity checking model with two schemes called BLS (Batch Level Signature). Due to an effective cryptographic primitive known as batch signature, which supports the authentication of any number of datas simultaneously, the basic scheme (BLS) is also efficient in terms of latency, computation, and communication overhead. As a result, it provides the ideal resilience to data security and eliminates the correlation between datas. In addition, we present an improved scheme known as BLS, which combines the fundamental scheme with a data filtering mechanism to lessen the impact of DoS while maintaining the highest possible resistance to data security.