Investigation on security management risk assessment of accounting resource sharing under internet of things big data technology

Jiandong Wang

International Journal of Manufacturing Technology and Management, 2024, vol. 38, issue 4/5, 426-445

Abstract: While accounting resource sharing is convenient and saves a lot of time and energy, it also brings many potential risks to the enterprise. Therefore, how to protect and manage accounting resource sharing has become a top priority. This paper mainly studies the possible risks in the accounting resource sharing life cycle and the assessment of the security management risk of accounting resource sharing under the big data technology of the internet of things. This article will use various methods to evaluate the risk of accounting resource sharing security management, use information entropy and analytic hierarchy process to evaluate the uncertainty and risk size of accounting resource sharing security management risk, and use Markov chain and Bayesian formula to calculate the risk probability. The results show that the security protection efficiency of the optimised accounting resource sharing system has increased by 6.13%, and security management risks have been effectively controlled.

Keywords: internet of things; big data; resource sharing; risk assessment; information entropy; analytic hierarchy process; AHP; Markov chain; Bayes rule. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=139524 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:38:y:2024:i:4/5:p:426-445

Access Statistics for this article

More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().