An ECC- and OT-based privacy-preserving authentication scheme for smart home systems

Abstract Although the integration of 5G and AIoT technologies has created new opportunities for smart home systems, security issues remain a major barrier to their sustainable development and widespread adoption. Traditional identity authentication methods in smart home systems suffer from high computational complexity, complicated key management, and poor scalability, making them unsuitable for smart home environments with stringent storage and energy constraints. In addition, users’ private data face serious threats during the processes of collection, transmission, and storage. To address these challenges, this paper proposes a lightweight identity authentication and key agreement scheme integrating Oblivious Transfer (OT) and Elliptic Curve Cryptography (ECC). The proposed scheme adopts multi-factor authentication based on fingerprints, passwords, and hardware identifiers to enable mutual authentication, while timestamps, counters, and dynamic identity updates are employed to resist replay attacks and ensure forward secrecy and user privacy. Comprehensive security analysis and performance evaluation demonstrate that the proposed scheme reduces storage overhead by 19.49%–78.70%, communication overhead by 8.85%–62.61%, and computational cost by 0.01%–90.04%, thereby providing a secure and efficient authentication solution for resource-constrained smart home environments.

Authors

Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2026-08-19
DOI
https://doi.org/10.1007/s44443-026-01142-2
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An ECC- and OT-based privacy-preserving authentication scheme for smart home systems

Xiaofeng Liu, Pengfei Fu, Mingyu Feng
Journal of King Saud University - Computer and Information Sciences
Advanced Authentication Protocols Security
article

An ECC- and OT-based privacy-preserving authentication scheme for smart home systems

Xiaofeng Liu, Pengfei Fu, Mingyu Feng
article en

Abstract

Abstract Although the integration of 5G and AIoT technologies has created new opportunities for smart home systems, security issues remain a major barrier to their sustainable development and widespread adoption. Traditional identity authentication methods in smart home systems suffer from high computational complexity, complicated key management, and poor scalability, making them unsuitable for smart home environments with stringent storage and energy constraints. In addition, users’ private data face serious threats during the processes of collection, transmission, and storage. To address these challenges, this paper proposes a lightweight identity authentication and key agreement scheme integrating Oblivious Transfer (OT) and Elliptic Curve Cryptography (ECC). The proposed scheme adopts multi-factor authentication based on fingerprints, passwords, and hardware identifiers to enable mutual authentication, while timestamps, counters, and dynamic identity updates are employed to resist replay attacks and ensure forward secrecy and user privacy. Comprehensive security analysis and performance evaluation demonstrate that the proposed scheme reduces storage overhead by 19.49%–78.70%, communication overhead by 8.85%–62.61%, and computational cost by 0.01%–90.04%, thereby providing a secure and efficient authentication solution for resource-constrained smart home environments.

Journal of King Saud University - Computer and Information SciencesVol. 38(7)
Openalex Percentile: Top 40%
Advanced Authentication Protocols Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.