Integrating Blockchain and Big Data into External Audit Process: Perspective and Challenging
摘要
Remarkably, blockchain requires suitable legal frameworks to ensure legally binding transactions. Moreover, multidisciplinary teams and high investments are required to develop efficient blockchain ecosystems and exploit the power of data analytics. Cloud storage enables applications to efficiently manage their remote data but face the risk of being tampered with. This paper utilizes blockchain techniques and big data to develop a novel public auditing scheme for verifying data integrity in cloud storage. In the proposed scheme, different from the existing works that involve three participatory entities, only two predefined entities (i.e. data owner and cloud service provider) who may not trust each other are involved, and the third-party auditor for data auditing is removed. Specifically, data owners store the lightweight verification tags on the blockchain and generate proof by constructing the Merkle Hash Tree using the hashtags to reduce the overhead of computation and communication for integrity verification. Blockchain offers a drastically new way to record, process, and store financial transactions and information, and has the potential to fundamentally change the landscape of the accounting profession and reshape the business ecosystem. In this article, we introduce two types (i.e., permissionless and permissioned) of blockchain and lay out their technological features. The primary challenges of integrating blockchain into auditing include data privacy risks, regulatory uncertainty, and scalability issues in blockchain networks. Additionally, the high cost of implementation, technical complexities, and auditor skill gaps further hinder its adoption in financial audits.