Big Data Analytics-Envisioned Quantum-Safe Lattice-Based Three-Party Authenticated Key Agreement Protocol for Cloud IoT-Enabled Healthcare Applications

Cloud-based Internet of Things (IoT)-enabled smart healthcare plays a vital role in modern society, yet security and privacy challenges remain unavoidable. The authenticated key agreement (AKA) process, which serves as the foundation of secure communication, is widely recognized as a key solution to these challenges. However, many existing AKA methods in the literature either involve high communication and computational costs or fail to withstand quantum attacks. Post-quantum cryptography (PQC) introduces a new class of cryptographic algorithms designed to resist future quantum computer threats. In this article, we present a quantum-secure, lattice-based three-party AKA scheme for smart IoT healthcare applications, leveraging the computationally complex Ring-Learning With Errors (Ring-LWE) problem. Our approach integrates secure big-data analytics with blockchain technology by utilizing authentication procedures for secure data aggregation before storing it in the blockchain. A comprehensive security evaluation including formal and informal analysis, demonstrates the scheme's strong resilience against both classical and quantum attacks. Additionally, experimental results confirm that the proposed scheme is well-suited for real-time smart healthcare applications.

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Publication Details

Journal
IEEE Transactions on Dependable and Secure Computing
Published
2025-09-03
DOI
https://doi.org/10.1109/tdsc.2025.3605524
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
3.25
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article

Big Data Analytics-Envisioned Quantum-Safe Lattice-Based Three-Party Authenticated Key Agreement Protocol for Cloud IoT-Enabled Healthcare Applications

Mohammad Wazid, Ashok Kumar Das, Bharat Bhargava, A. Thomas Paul Roy et al.
1 citations
IEEE Transactions on Dependable and Secure Computing
Cloud Data Security Solutions
3.25
article

Big Data Analytics-Envisioned Quantum-Safe Lattice-Based Three-Party Authenticated Key Agreement Protocol for Cloud IoT-Enabled Healthcare Applications

Mohammad Wazid, Ashok Kumar Das, Bharat Bhargava, A. Thomas Paul Roy, Prithwi Bagchi, Youngho Park
article en
1 citations

Abstract

Cloud-based Internet of Things (IoT)-enabled smart healthcare plays a vital role in modern society, yet security and privacy challenges remain unavoidable. The authenticated key agreement (AKA) process, which serves as the foundation of secure communication, is widely recognized as a key solution to these challenges. However, many existing AKA methods in the literature either involve high communication and computational costs or fail to withstand quantum attacks. Post-quantum cryptography (PQC) introduces a new class of cryptographic algorithms designed to resist future quantum computer threats. In this article, we present a quantum-secure, lattice-based three-party AKA scheme for smart IoT healthcare applications, leveraging the computationally complex Ring-Learning With Errors (Ring-LWE) problem. Our approach integrates secure big-data analytics with blockchain technology by utilizing authentication procedures for secure data aggregation before storing it in the blockchain. A comprehensive security evaluation including formal and informal analysis, demonstrates the scheme's strong resilience against both classical and quantum attacks. Additionally, experimental results confirm that the proposed scheme is well-suited for real-time smart healthcare applications.

IEEE Transactions on Dependable and Secure ComputingVol. 23(1)
Purdue University West Lafayette (US), Kyungpook National University (KR), Global Hospitals (IN), Graphic Era University (IN), International Institute of Information Technology, Hyderabad (IN)
Openalex Percentile: Top 7%
Cloud Data Security Solutions
3.25
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Big Data Analytics-Envisioned Quantum-Safe Lattice-Based Three-Party Authenticated Key Agreement Protocol for Cloud IoT-Enabled Healthcare Applications — Mohammad Wazid, Ashok Kumar Das, et al. · IEEE Transactions on Dependable and Secure Computing (2025) | TGRS Research Map | TGRS