A Comprehensive Secure Healthcare Cloud Framework With Multi-Layered Security And Data Privacy Measures

As more cloud computing and Internet-of-Things (IoT) devices are permeating the healthcare sector, protecting highly confidential patient information is becoming increasingly important. This paper presents a secure healthcare cloud framework, which integrates multi-layer security strategies such as Zero Trust Access Control, Homomorphic Encryption, and Secure Multi-Party Computation (SMPC) to protect the patients' data from unauthorized access and information data breaches. The framework is also supplemented with high encryption systems like End-to-End Encryption and with Quantum Resistant Cryptography, assuring secured data transmission. The proposed framework also guarantees confidentiality, integrity, and compliance to regulation through the incorporation of Intrusion Detection System (IDS) for real-time monitoring. The performance evaluation indicates that it can effectively meet the improved security needs of modern healthcare systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-23
DOI
https://doi.org/10.5281/zenodo.15070175
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Secure Healthcare Cloud Framework With Multi-Layered Security And Data Privacy Measures

Zenodo (CERN European Organization for Nuclear Research)
Plant Molecular Biology Research
article

A Comprehensive Secure Healthcare Cloud Framework With Multi-Layered Security And Data Privacy Measures

article en

Abstract

As more cloud computing and Internet-of-Things (IoT) devices are permeating the healthcare sector, protecting highly confidential patient information is becoming increasingly important. This paper presents a secure healthcare cloud framework, which integrates multi-layer security strategies such as Zero Trust Access Control, Homomorphic Encryption, and Secure Multi-Party Computation (SMPC) to protect the patients' data from unauthorized access and information data breaches. The framework is also supplemented with high encryption systems like End-to-End Encryption and with Quantum Resistant Cryptography, assuring secured data transmission. The proposed framework also guarantees confidentiality, integrity, and compliance to regulation through the incorporation of Intrusion Detection System (IDS) for real-time monitoring. The performance evaluation indicates that it can effectively meet the improved security needs of modern healthcare systems.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 67%
Plant Molecular Biology Research
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