Securing Taxpayer Data: Advancing Cybersecurity in Tax Accounting Practices

Authors

  • Jimmy Kato Kogod School of Business, American University, Washington DC, USA Author
  • Eria Othieno Pinyi Department of Computer Science, Maharishi International University, Fairfield Iowa, USA Author
  • Iga Daniel Ssetimba Department of Computer Science, Maharishi International University, Fairfield Iowa, USA Author
  • Harriet Norah Nakayenga Department of Computer Science, Maharishi International University, Fairfield Iowa, USA Author
  • Brian Akashaba Department of Computer Science, Maharishi International University, Fairfield Iowa, USA Author
  • Evans Twineamatsiko College of Business Administration, Maharishi International University, Fairfield, Iowa, USA Author

DOI:

https://doi.org/10.5281/zenodo.12793618

Keywords:

Cybersecurity, Tax Accounting, Artificial Intelligence, Blockchain, Data Protection, Identity Theft, Compliance, Financial Security, Machine Learning

Abstract

This paper explores the integration of advanced cybersecurity protocols into tax accounting practices to combat the growing issues of tax fraud and data breaches. Integrating advanced technologies, particularly Artificial Intelligence (AI), is revolutionizing various sectors. These innovations facilitate enhanced data security and operational efficiency, aiming to secure tax information, protect taxpayers from identity theft and financial loss, and ensure compliance with stringent data protection regulations. This initiative seeks to safeguard sensitive financial data Penh, enhance trust in the tax system, and support a secure and resilient economic environment. The proposed cybersecurity measures are designed to create a robust defense against cyber threats, ensuring the integrity and confidentiality of taxpayer data. The paper outlines the architecture of the cybersecurity framework, key components, and implementation steps, demonstrating the practical application and benefits of integrating these technologies into tax accounting practices.

Downloads

Download data is not yet available.

Downloads

Published

22-07-2024

Issue

Section

Articles

How to Cite

[1]
J. Kato, E. O. Pinyi, I. D. Ssetimba, H. N. Nakayenga, B. Akashaba, and E. Twineamatsiko, “Securing Taxpayer Data: Advancing Cybersecurity in Tax Accounting Practices”, IJRIS, vol. 2, no. 7, pp. 42–46, Jul. 2024, doi: 10.5281/zenodo.12793618.