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The Intersection of Big Data, Cybersecurity, and ERP Systems: A Deep Learning Perspective
Published in January-March 2025 (Vol. 2, Issue 1, 2025)

Keywords
big datacybersecurityenterprise resource planningERP systemsdigital technologiesIT securitywhite-collar crimeorganizational data managementtransaction processing systemsreporting systemscloud-based ERPproprietary and open-source systemsdata protectionhacking preventiondeep learningcybersecurity analyticsIT threat mitigationhybrid data architecturesorganizational risk managementdigital transformationadaptive ERP systemsdata-driven decision making
Abstract
In the modern world of digital technologies, several technological and managerial aspects share a strong intersection. Among others, three important aspects are big data, cybersecurity, and enterprise resource planning systems. In the IT era, organizations have been relying on applications for their growth and day-to-day activities. While it is essential to manage and operate ERPs to improve and attain new business heights, there are also big questions about continuous cyberattacks, security, and hacking issues. The ignorance and negligence of the management and staff in any of these have led them to a significant level of loss. Some instances have practically shown companies' reputations and prospects went down drastically due to such uncontrollable white-collar crimes. The growth of the digital era forces us to devise adept mechanisms and take stringent measures. Consequently, there is a need to transcend these major challenges in unison. In this exploratory study, we have proposed the potential and the possibility for deep learning in the area of big data and cybersecurity when closely knit with enterprise resource planning systems.
Contemporary ERPs are like the central nervous system of a living organism: providing vital data and ensuring efficient operations. The key elements of today's organizations are reporting systems and transaction processing systems. The database systems that store business data are often architected with a mixture of different data management technologies. These conglomerate systems are often hybrids with a complex array of proprietary, open-source, and emerging cloud-based convergences. Considering the fast and rapidly changing IT environments, ERPs have to be adaptable to these data challenges. The security of an organization's data is a core issue and must be protected from IT-based security threats. Organizations must have reserved data hacked or be demoralized by hacking attempts. The harmonic convergence of data management, cybersecurity analytics, and deep learning provides profound new approaches for hardening the systems that manage and protect the data!
Authors (1)
Venkata Narasareddy Annapareddy
Sr Enterprise Application Deve...Sr Enterprise Application Developer, University of...Sr Enterprise Application Developer, University of Maryland, BaltimoreSr Enterprise Application Developer, University of Maryland, Baltimore
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Article Information
Published in:
January-March 2025 (Vol. 2, Issue 1, 2025)- Article ID:
- jaibdd120016
- Paper ID:
- JAIBDD-01-000016
- Published Date:
- 2026-02-24
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How to Cite
Venkata Narasareddy Annapareddy (2026). The Intersection of Big Data, Cybersecurity, and ERP Systems: A Deep Learning Perspective. Journal of Artificial Intelligence and Big Data Disciplines (JAIBDD), 2(1), xx-xx. DOI:https://doi.org/10.70179/z385t072
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