The Role of Highway Convoluted Zero Trust Architecture in Strengthening Identity and Access Management

Authors

Ranga Premsai

Abstract

The rise in financial crimes such as identity theft, impersonation, and forgeries has made it crucial for banking systems to develop effective fraud detection mechanisms. A key component of these systems is the ability to identify fraudulent users early, but this is often challenging due to the evolving nature of cybercrimes. Traditional fraud detection methods, which rely on rule-based systems or simple pattern recognition, have shown limitations in terms of accuracy and reliability, particularly in large-scale financial institutions with millions of transactions.
In this paper, we propose an efficient and reliable solution for fraudulent user identification in Smart Banking Cyber-Physical Systems (SBCPS) using a deep learning-based approach integrated with a zero-trust architecture. By combining advanced machine learning techniques like highway convoluted networkwith a zero-trust model, our system continuously authenticates users and devices, ensuring that every access request is validated. This significantly reduces the risk of unauthorized access or fraud.The deep learning model can process large, complex datasets, identifying subtle patterns that traditional methods miss. The zero-trust architecture further enhances security by treating every user and device as untrusted until verified, minimizing potential vulnerabilities. The system integrates sensing, detection, and risk infiltration, enabling real-time fraud detection and swift response actions.
Our proposed solution offers a time-efficient, accurate, and scalable approach to fraudulent user identification in SBCPS, improving security, reliability, and operational efficiency in financial organizations.

Keywords

Smart Banking Cyber-Physical Systems, deep learning, zero-trust model

The Role of Highway Convoluted Zero Trust Architecture in Strengthening Identity and Access Management. Ranga Premsai. 2023. IJIRCT, Volume 9, Issue 2. Pages 1-13. https://www.ijirct.org/viewPaper.php?paperId=2412005