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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64717
Volume:
10 |
6 |
Jun 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Department of Cyber Security
DR.M.G.R. Educational and Research Institute
Department of Cyber Security
DR.M.G.R. Educational and Research Institute
Escalating reliance on large-scale distributed applications has placed unprecedented demands on secure, policy-driven access control mechanisms within enterprise environments. Conventional administrative architectures are hampered by weak policy governance, vulnerability to insider exploitation, and inadequate intrusion deterrence, collectively exposing organizations to significant data-security risks. This paper presents the Advanced Administrator Intrusion Prevention Mechanizer (AAIPM), a novel framework that integrates text-mining-driven policy synthesis, multi-tier privilege stratification, and a Joint Threshold Administration Mechanism (JTAM) to achieve comprehensive protection of application and database assets. The JTAM enforces a distributed consensus requirement, mandating approval from a quorum of administrators prior to committing any high-impact database operation. Privilege classification into aggressive, fine-grained, and conservative tiers further enables granular, role-calibrated access governance. Evaluation results confirm that the AAIPM substantially reduces unauthorized-access incidents while enabling automated, context-aware policy generation without exposure of sensitive system internals. The proposed architecture constitutes a scalable and interoperable solution for modern enterprise security administration.
KEYWORDS
The Advanced Administrator Intrusion Prevention Mechanizer (AAIPM) represents a substantive contribution to enterprise database security administration. By unifying automated text-mining-driven policy synthesis, JTAM-enforced distributed approval, and a tri-tier privilege stratification model, the system addresses critical security gaps that conventional platforms leave unresolved. The AAIPM's practical deployability—implemented on widely available enterprise technologies with no specialized hardware requirements—positions it as an economically viable and operationally realistic security enhancement for organizations of varying scale. Future research will investigate deep learning-based anomaly detection for real-time threat identification, blockchain-anchored policy storage for tamper-proof governance records, and federated deployment architectures for distributed enterprise environments.
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Publication Date
6/9/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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