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.
Authors
- Mohammad Wazid (ORCID: https://orcid.org/0000-0001-9898-0921)
- Ashok Kumar Das (ORCID: https://orcid.org/0000-0002-5196-9589)
- Bharat Bhargava (ORCID: https://orcid.org/0000-0003-3803-8672)
- A. Thomas Paul Roy (ORCID: https://orcid.org/0009-0005-1949-3241)
- Prithwi Bagchi
- Youngho Park
Institutions
- Purdue University West Lafayette (US)
- Kyungpook National University (KR)
- Global Hospitals (IN)
- Graphic Era University (IN)
- International Institute of Information Technology, Hyderabad (IN)
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