QShieldX – Quantum-Safe Asset Scanner

Authors

  • Deepali S. Jadhav Department of Information Technology, Vishwakarma Institute of Technology, Pune, Maharashtra, India.
  • Veena M. Kadam Department of Computer Engineering, Keystone School of Engineering, Pune – 412308, Maharashtra, India.
  • Arati V. Deshpande Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India.
  • Anuja Gaikwad School of Computing, MIT Art, Design and Technology University, Pune, Maharashtra, India.
  • Sangita M. Jaybhaye Department of Computer Science and Engineering (Artificial Intelligence), Vishwakarma Institute of Technology, Pune, Maharashtra, India.
  • Shailaja Uke Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India.

DOI:

https://doi.org/10.70917/ijcisim-2026-2946

Keywords:

CyberScanner, OOP, FastAPI, Next.js, LangGraph, Ollama, automated reconnaissance, CVE workflow

Abstract

QShieldX based on java SWING What is QShieldX? Is a Quantum-Safe Asset Scanner that is part of the line of products to be developed due to quantum computing. It simulates scrutiny of cryptographic security in publicly available digital resources such as servers, websites, and APIs. With the concept of Post-Quantum Cryptography (PQC), this tool is aimed to identify weak cipher options and to evaluate an assets' resistance against the threat of quantum computing.Asset loading from a MySQL database, simulated scanning of TLS configuration, certificate validation and PQC readiness checking form a rigid structured workflow inside the application. The parameters are applied to calculate a risk score and to classify assets into different risk categories, allowing the users to understand where they can be potentially exposed. Data is stored and visualized via an interactive dashboard with filtering capabilities, historical tracking, and graphical risk representations.Together with a modular design approach and a loosely implemented MVC architecture, the project demonstrates how powerful OOP features - like encapsulation, inheritance, abstraction and polymorphism - can be effectively employed. The system achieves a seamless and integrated cybersecurity analytics solution by handling the database management using JDBC and by providing an easy to use desktop based user interface. Apart from demonstrating the need for pre-emptive cryptographic analysis, this work also provides a basic framework for the development for q-SEC solutions in real life applications.

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Published

2026-07-09

How to Cite

Deepali S. Jadhav, Veena M. Kadam, Arati V. Deshpande, Anuja Gaikwad, Sangita M. Jaybhaye, & Shailaja Uke. (2026). QShieldX – Quantum-Safe Asset Scanner. International Journal of Computer Information Systems and Industrial Management Applications, 18(6s), 441–449. https://doi.org/10.70917/ijcisim-2026-2946

Issue

Section

Original Articles