An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management

TL;DR

The paper addresses the challenge of securely managing healthcare data in cloud environments while enabling proactive protection against breaches. It introduces IQ-HDM, a dual-unit quantum framework that combines quantum one-time pad encryption (QOTPE) for secure data outsourcing with a quantum feed-forward neural network (QFNN)-based quantum-protected healthcare data communication (QPHDC) module for proactive breach prediction. Key contributions include the novel IQ-HDM architecture, unconditional security via QOTPE, proactive malicious-entity estimation through QPHDC, and comprehensive evaluation on multiple datasets showing improvements over state-of-the-art baselines. The work demonstrates how an end-to-end quantum approach can strengthen data storage, transmission, and access-control decisions in healthcare, potentially reducing cyber threats and preserving patient privacy in cloud ecosystems.

Abstract

Digital healthcare is essential to facilitate consumers to access and disseminate their medical data easily for enhanced medical care services. However, the significant concern with digitalization across healthcare systems necessitates for a prompt, productive, and secure storage facility along with a vigorous communication strategy, to stimulate sensitive digital healthcare data sharing and proactive estimation of malicious entities. In this context, this paper introduces a comprehensive quantum-based framework to overwhelm the potential security and privacy issues for secure healthcare data management. It equips quantum encryption for the secured storage and dispersal of healthcare data over the shared cloud platform by employing quantum encryption. Also, the framework furnishes a quantum feed-forward neural network unit to examine the intention behind the data request before granting access, for proactive estimation of potential data breach. In this way, the proposed framework delivers overall healthcare data management by coupling the advanced and more competent quantum approach with machine learning to safeguard the data storage, access, and prediction of malicious entities in an automated manner. Thus, the proposed IQ-HDM leads to more cooperative and effective healthcare delivery and empowers individuals with adequate custody of their health data. The experimental evaluation and comparison of the proposed IQ-HDM framework with state-of-the-art methods outline a considerable improvement up to 67.6%, in tackling cyber threats related to healthcare data security.

Figures (9)

• Figure 1: Architecture of the proposed intelligent quantum oriented healthcare data management framework.
• Figure 2: Circuit for Quantum one time padding with 3 qubits
• Figure 3: QFNN based QPHDC to predict malicious entity for secure data communication.
• Figure 4: Quantum circuit for qubit embedding
• Figure 5: Probability statistics for Key generation randomness on classical computer and classical computer.