Cybersecurity Measures in Master Data Management: Safeguarding Sensitive Information

Authors

  • Ronak Ravjibhai Pansara Author

Abstract

With the increasing digitization of business processes and the proliferation of data, ensuring the security of sensitive information within Master Data Management (MDM) systems has become paramount. This research paper delves into the realm of cybersecurity measures specifically tailored for safeguarding sensitive information in MDM frameworks. The abstract outlines the key components of the paper, including an exploration of current threats to MDM systems, an analysis of traditional and cutting-edge cybersecurity measures, and recommendations for a robust cybersecurity strategy in the context of MDM. As organizations strive to maintain the integrity and confidentiality of their master data, understanding and implementing effective cybersecurity measures becomes essential to mitigate risks and secure sensitive information throughout the data lifecycle.

Downloads

Download data is not yet available.

References

Anderson, J., & Smith, R. (2020). Navigating Cybersecurity: A Comprehensive Guide. Cybersecurity Publishers.

Brown, A., & Davis, P. (2018). Overcoming Organizational Challenges in Implementing Cybersecurity Measures. Journal of Information Security, 12(3), 123-140.

Chen, H., & Wang, L. (2021). Artificial Intelligence Applications in Cybersecurity: A Comprehensive Review. Journal of Cybersecurity Research, 8(2), 67-84.

Kasula, B. Y. (2021). Ethical and Regulatory Considerations in AI-Driven Healthcare Solutions. (2021). International Meridian Journal, 3(3), 1-8. https://meridianjournal.in/index.php/IMJ/article/view/23

Kasula, B. Y. (2021). AI-Driven Innovations in Healthcare: Improving Diagnostics and Patient Care. (2021). International Journal of Machine Learning and Artificial Intelligence, 2(2), 1-8. https://jmlai.in/index.php/ijmlai/article/view/15

Kasula, B. Y. (2021). Machine Learning in Healthcare: Revolutionizing Disease Diagnosis and Treatment. (2021). International Journal of Creative Research In Computer Technology and Design, 3(3). https://jrctd.in/index.php/IJRCTD/article/view/27

Kasula, B. (2022). Harnessing Machine Learning Algorithms for Personalized Cancer Diagnosis and Prognosis. International Journal of Sustainable Development in Computing Science, 4(1), 1-8. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/412

Kasula, B. (2022). Automated Disease Classification in Dermatology: Leveraging Deep Learning for Skin Disorder Recognition. International Journal of Sustainable Development in Computing Science, 4(4), 1-8. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/414

Garcia, M., & Rodriguez, E. (2017). Regulatory Compliance and Cybersecurity in Master Data Management: A Case Study Analysis. International Journal of Data Protection, 15(4), 345-362.

Johnson, K., et al. (2019). Blockchain for Enhanced Data Integrity in Master Data Management Systems. Journal of Blockchain Applications, 6(1), 45-62.

Redman, T. (2013). Data Driven: Creating a Data Culture. Harvard Business Review Press.

Smith, P., & Jones, Q. (2016). Enhancing Cybersecurity in Master Data Management: An Integrated Approach. Journal of Cybersecurity Practices, 4(3), 211-228.

Whitman, M., & Mattord, H. (2018). Principles of Information Security. Cengage Learning.

Brown, A., & Davis, P. (2018). Overcoming Organizational Challenges in Implementing Cybersecurity Measures. Journal of Information Security, 12(3), 123-140.

Chen, H., & Wang, L. (2021). Artificial Intelligence Applications in Cybersecurity: A Comprehensive Review. Journal of Cybersecurity Research, 8(2), 67-84.

Kasula, B. Y. (2019). Exploring the Foundations and Practical Applications of Statistical Learning. International Transactions in Machine Learning, 1(1), 1–8. Retrieved from https://isjr.co.in/index.php/ITML/article/view/176

Kasula, B. Y. (2019). Enhancing Classification Precision: Exploring the Power of Support-Vector Networks in Machine Learning. International Scientific Journal for Research, 1(1). Retrieved from https://isjr.co.in/index.php/ISJR/article/view/171

Kasula, B. Y. (2016). Advancements and Applications of Artificial Intelligence: A Comprehensive Review. International Journal of Statistical Computation and Simulation, 8(1), 1–7. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/214

Kasula, B. Y. (2020). Fraud Detection and Prevention in Blockchain Systems Using Machine Learning. (2020). International Meridian Journal, 2(2), 1-8. https://meridianjournal.in/index.php/IMJ/article/view/22

Garcia, M., & Rodriguez, E. (2017). Regulatory Compliance and Cybersecurity in Master Data Management: A Case Study Analysis. International Journal of Data Protection, 15(4), 345-362.

Johnson, K., et al. (2019). Blockchain for Enhanced Data Integrity in Master Data Management Systems. Journal of Blockchain Applications, 6(1), 45-62.

Redman, T. (2013). Data Driven: Creating a Data Culture. Harvard Business Review Press.

Smith, P., & Jones, Q. (2016). Enhancing Cybersecurity in Master Data Management: An Integrated Approach. Journal of Cybersecurity Practices, 4(3), 211-228.

Whitman, M., & Mattord, H. (2018). Principles of Information Security. Cengage Learning.

Brown, A., & Davis, P. (2018). Overcoming Organizational Challenges in Implementing Cybersecurity Measures. Journal of Information Security, 12(3), 123-140.

Chen, H., & Wang, L. (2021). Artificial Intelligence Applications in Cybersecurity: A Comprehensive Review. Journal of Cybersecurity Research, 8(2), 67-84.

Garcia, M., & Rodriguez, E. (2017). Regulatory Compliance and Cybersecurity in Master Data Management: A Case Study Analysis. International Journal of Data Protection, 15(4), 345-362.

Johnson, K., et al. (2019). Blockchain for Enhanced Data Integrity in Master Data Management Systems. Journal of Blockchain Applications, 6(1), 45-62.

Redman, T. (2013). Data Driven: Creating a Data Culture. Harvard Business Review Press.

Kasula, B. Y. (2017). Machine Learning Unleashed: Innovations, Applications, and Impact Across Industries. International Transactions in Artificial Intelligence, 1(1), 1–7. Retrieved from https://isjr.co.in/index.php/ITAI/article/view/169

Kasula, B. Y. (2017). Transformative Applications of Artificial Intelligence in Healthcare: A Comprehensive Review. International Journal of Statistical Computation and Simulation, 9(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/215

Kasula, B. Y. (2018). Exploring the Efficacy of Neural Networks in Pattern Recognition: A Comprehensive Review. International Transactions in Artificial Intelligence, 2(2), 1–7. Retrieved from https://isjr.co.in/index.php/ITAI/article/view/170

Downloads

Published

2022-08-17

Issue

Section

Articles

How to Cite

Cybersecurity Measures in Master Data Management: Safeguarding Sensitive Information. (2022). International Numeric Journal of Machine Learning and Robots, 6(6), 1-12. https://injmr.com/index.php/fewfewf/article/view/35

Most read articles by the same author(s)

1 2 3 4 5 > >>