@article{4705,
  author = {Hajar Ait Lamkademe},
  title = {A Rough Set-Based Parallel Verification Algorithm for Ensuring Data Integrity in Cloud-Based Accounting Information Systems},
  journal = {Progress in Machines and Systems},
  year = {2026},
  volume = {15},
  number = {1},
  doi = {https://doi.org/10.6025/pms/2026/15/1/19-33},
  url = {https://www.dline.info/pms/fulltext/v15n1/pmsv15n1_2.pdf},
  abstract = {With the rapid development of information technology and the widespread deployment of database systems,
massive volumes of enterprise data are generated and stored every day. These datasets contain valuable
information that can support strategic decision-making and business intelligence. However, migrating
accounting systems to cloud environments introduces significant challenges for data integrity, confidentiality,
and security. Ensuring that financial data stored in distributed cloud infrastructures remains accurate,
complete, and tamper free has become a critical issue for modern accounting information systems.
To address this problem, this study proposes a cloud-based algorithm for verifying the integrity of accounting
data that integrates rough set theory with data mining techniques. The proposed approach establishes a
secure and reliable cloud storage architecture capable of performing efficient data verification through
parallel processing. By incorporating rough set-based attribute reduction and feature selection mechanisms,
the algorithm improves computational efficiency while maintaining high accuracy in detecting data
corruption or inconsistencies. In addition, the proposed system supports both single user and multi user
verification mechanisms, enabling scalable data auditing in cloud environments.
Experimental evaluation demonstrates that the proposed parallel verification algorithm significantly reduces
communication overhead and verification time compared with traditional single-user verification schemes.
The results further show that the algorithm maintains high verification accuracy while optimising
computational resource utilisation. Therefore, the proposed method provides a reliable and efficient solution
for safeguarding the integrity of accounting information in cloud computing environments.},
}