Zero-Trust Architecture: Implementing and Evaluating Security Measures in Modern Enterprise Networks

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Abeer Aljohani

Abstract

Using the principles of quantum mechanics, quantum cryptography provides unprecedented security for communication. But as systems that contain sensitive information such as credit card numbers, email addresses, and names are evolving, it’s important to send or store this data to maintain security and privacy in places where security even in quantum to ensure that not only actual quantum communications, but also systems of these are protected There is also the challenge of protecting sensitive personal information that may be exchanged. In this paper, we tackle the challenge of properly anonymizing sensitive data in quantum cryptographic systems, in order to prevent its exposure, especially for scenarios where there is a risk of data harvesting or breach role. To overcome this problem, we used Presidio, a sophisticated tool for identifying sensitive and anonymous information, and were able to create a list of these data items by applying information to sample text with information a provides (Much) identification including name, credit card number, and email address (Anonymized_Name, Anonymized_Credit_Card, And Email Details). The results show that it is possible to efficiently anonymize private information without affecting communication integrity, adding additional security to quantum cryptographic systems. Our research concludes that Presidio provides a reliable means of protecting data privacy, reducing the likelihood of identity theft and data breaches. Although successful, this approach highlights the importance of sophisticated anonymization techniques in hybrid cryptography systems, and scaling issues but the findings of this study highlight how need to integrate anonymization technology with flexible communication management systems to improve security and compliance.

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How to Cite
Aljohani, A. (2023). Zero-Trust Architecture: Implementing and Evaluating Security Measures in Modern Enterprise Networks. SHIFRA, 2023, 60-72. https://doi.org/10.70470/SHIFRA/2023/008
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