Advanced Database Security Techniques in Oracle Environments

Authors

  • Rakesh Jena Scholar Biju Patnaik University of Technology, Rourkela, Bhubaneswar, Odisha 751024,
  • Krishna Kishor Tirupati scholar, International Institute of Information Technology Bangalore JOHNS CREEK, GA ,30097,
  • Pronoy Chopra Scholar, University Of Oklahoma USA,
  • Er. Aman Shrivastav Independent Researcher , ABESIT Engineering College , Ghaziabad ,
  • Shalu Jain Researcher, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
  • Prof. (Dr) Sangeet Vashishtha IIMT University, Meerut, India

DOI:

https://doi.org/10.36676/dira.v12.i3.133

Keywords:

Oracle Security, Database Hardening, Data Encryption, Role-Based Access Control, Data Masking

Abstract

This research paper proposes a comprehensive framework for integrating advanced database security techniques in Oracle environments to address emerging security threats and compliance challenges. The study focuses on implementing a multi-layered security strategy that combines data encryption, role-based access control (RBAC), Oracle Database Vault, dynamic data masking, and real-time monitoring using Oracle Audit Vault and Database Firewall (AVDF). The framework is designed to safeguard sensitive data, prevent unauthorized access, mitigate insider threats, and ensure compliance with regulations such as GDPR and PCI DSS.

To validate the effectiveness of the proposed framework, a case study was conducted in a controlled Oracle database environment that simulates real-world conditions. The security techniques were evaluated based on their ability to mitigate common attack vectors, such as SQL injection, privilege escalation, and data leakage, while minimizing performance overhead. Results showed that the integrated framework achieved a 94% overall security score, effectively preventing unauthorized access and providing robust protection against both external and internal threats. However, performance testing revealed that certain techniques, such as dynamic data masking and machine learning-based anomaly detection, introduced notable overhead, increasing query response time by up to 25%.

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Published

2024-09-30
CITATION
DOI: 10.36676/dira.v12.i3.133
Published: 2024-09-30

How to Cite

Rakesh Jena, Krishna Kishor Tirupati, Pronoy Chopra, Er. Aman Shrivastav, Shalu Jain, & Prof. (Dr) Sangeet Vashishtha. (2024). Advanced Database Security Techniques in Oracle Environments. Darpan International Research Analysis, 12(3), 811–844. https://doi.org/10.36676/dira.v12.i3.133

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