A Zero Trust Approach to Cloud Resource Access Request Management and Authorization
Author(s):
Deven Nandapurkar, Dr. Smita Chaudhari, Atharv Nalwade, Chinmay Kale, Yashvardhan Jadhav
Keywords:
IAM (Identity Access Management), ZTM (Zero Trust Management), ZTNA (Zero Trust Network Access), AMM (Access Management Module), ABAC (Attribute-Based Access Control), NIST (National Institute of Standards and Technology).
Abstract
In line with the Zero Trust philosophy, this study presents a complex solution that optimizes AWS IAM access control inside a networked architecture. The cornerstone is the Access Management Module, which uses a Zero Trust perspective to enable easy provisioning, modification, and revocation of user access to AWS services. The Continuous Monitoring Module examines CloudTrail logs in real-time, using anomaly detection algorithms to proactively detect security violations and rigorously compare user records against enterprise limitations. The Usage Reporting Dashboard facilitates informed decision-making by offering visually intuitive analysis that aligns with Zero Trust principles. Following the Zero Trust tenet, the Predictive Modeling Module uses past data to train a machine learning model for dynamic risk assessment, strengthening the system’s defenses against potential threats. With the help of this integrated architecture, an effective Zero Trust-oriented AWS IAM Access Management Portal is established, successfully handling changing access control and security concerns.
Article Details
Unique Paper ID: 163478

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2069 - 2074
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