AI/ML-DRIVEN ACCESS POLICY SUGGESTION BASED ON USER ATTRIBUTES AND APPLICATION REQUIREMENTS
DOI:
https://doi.org/10.34218/IJCET_16_02_021Keywords:
Attributes, APSE, Artificial Intelligence, Machine LearningAbstract
The contextual information proposed in the paper is used to suggest an access policy through a suggestion engine based on attributes along with AI/ML. It integrates machine learning, NLP, as well as blockchain to make security, the auditability, and also the functionality of the procedure better. We demonstrate best result in accuracy and latency in addition to policy alignment for complex enterprise systems.
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Copyright (c) 2025 Laxmikanth Mukund Sethu Kumar (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
