Generic row filtering and column masking for fine-grained data access control through secure JDBC drivers
*Rahul Kumar SharmaCorresponding authorrahulsharma21@gmail.comSchool of Computer Science & Information TechnologyDevi Ahilya VishwavidyalayaIndore, Madhya Pradesh, 452017, IndiaView full profile → , Vivek Kapoorvkapoor@ietdavv.edu.inDepartment of Information TechnologyDevi Ahilya VishwavidyalayaInstitute of Engineering & TechnologyIndore, Madhya Pradesh, 452017, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Apr 2025
- Published Online:
- 23 Apr 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2287
- Pages:
- 1955–1964
Abstract
Keywords
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References
[1] S. K. Mandal, R. Singh, N. Chandu, D. Mehta, S. K. Henge, D. Kothapeta, C. K. Hinge, A. Sharma, and T. Hussain, “Evolutionary multi-authentication cryptographic key implications for secure data access control,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5-B, pp. 1865–1874 (2025), doi : 10.47974/JDMSC-2363.
[2] M. Yaramadhi, K. S. Reddy, K. R. Prasad, M. Kavya, E. Muniyandy, S. Rajeswari, and R. Thouheed, “Preventing insider attacks: Leveraging Identity and Access Management (IAM) solutions over traditional password-based authentication,” Journal of Information and Optimization Sciences, vol. 46, no. 2, pp. 509–519 (2025), doi : 10.47974/JIOS-1931.
[3] C. Cotner and R. L. Miller, “Row level security in database management system,” U.S. Patent, 9, 870, 483 B2 (2018).
[4] A. Gosain and A. Arora, “Security Issues in Data Warehouse: A Systematic Review,” in International Conference on Intelligent Computing, Communication & Convergence, Bhubneshwar (2015).
[5] R. K. Sharma and V. Kapoor, “A Generic Data Privacy Approach for Relational Databases and Data Warehouse,” International Journal of Intelligent Systems and Applications in Engineering (IJISAE), vol. 11, no. 3, pp. 1286–1289 (2023)
[6] K. Shirudkar and D. Motwani, “Big Data Security,” International Journal of Advance Research in Computer Science and Software Engineering, vol. 5, no. 3, pp. 1102-1105 (2015).
[7] D. S. Terzi, R. Terzi, and S. Sagiroglu, “A Survey on Security and Privacy Issues in Big Data,” in 10th International Conference for Internet Technology and Secured Transactions (2015).
[8] Y. Tian, “Towards the Development of Best Data Security for Big Data,” in Communications and Networks, vol. 9, pp. 291-301 (2017).
[9] V. N. Inukollu, S. Arsi, and S. R. Ravuri, “Security Issues associated with Big Data in cloud computing,” in International Journal of Network Security & Its Applications (IJNSA) vol. 6, no. 3, pp. 51-55 (2014).
[10] R. K. Sharma and V. Kapoor, “Implementing Row and Column Level Security in Hive,” in International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), vol. 6, no. 9, pp. 1329-1332 (2017)
[11] K. Tran, S. Vasudevan, P. Desai, A. Gorelik, M. Ahuja, A. Y. Venkateshababu, M. Verma, D. Hu, W. E. Moustafa, V. Rajamani, A. Gupta, I. Buenrostro, and K. Raina, “Data Guard: A Fine-grained Purpose-based Access Control System for Large Data Warehouses,” in arXiv preprint, arXiv:2502.01998 (2025).
[12] Johannes Koppenwallner and Erich Schikuta, “DiCE - A Data Encryption Proxy for the Cloud,” arXiv preprint, arXiv:2310.05710 (2023).
[13] Oracle Corporation, “Using Oracle Virtual Private Database to Control Data Access,” Oracle Documentation, Oracle (2018).
[14] Carson Smith, “Proxy-Based Dynamic Data Masking in FieldShield,” IRI Blog (2023). Available: https://beta.iri.com




