| Title | Construction of Audit Internal Control System Based on Online Big Data Mining and Decentralized Model |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Wang, Y., Guo, S., Wu, J., Wang, H. H. |
| Conference Name | 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) |
| Keywords | Big Data, control systems, data mining, Data models, data stream, decentralized model, Human Behavior, Information systems, Internal Control, pubcrawl, Resiliency, Scalability, security, Security Audits, Task Analysis |
| Abstract | Construction of the audit internal control system based on the online big data mining and decentralized model is done in this paper. How to integrate the novel technologies to internal control is the attracting task. IT audit is built on the information system and is independent of the information system itself. Application of the IT audit in enterprises can provide a guarantee for the security of the information system that can give an objective evaluation of the investment. This paper integrates the online big data mining and decentralized model to construct an efficient system. Association discovery is also called a data link. It uses similarity functions, such as the Euclidean distance, edit distance, cosine distance, Jeckard function, etc., to establish association relationships between data entities. These parameters are considered for comprehensive analysis. |
| DOI | 10.1109/I-SMAC49090.2020.9243427 |
| Citation Key | wang_construction_2020 |
Construction of Audit Internal Control System Based on Online Big Data Mining and Decentralized Model