SN Computer Science· 2026Q2
Fortified-Edge: Secure PUF-Based Authentication Mechanism for Integrated Cybersecurity in Collaborative Edge Computing
- 0citations
- Q2SCImago
- 2026year
Short summary
A novel framework integrates Physically Unclonable Functions (PUFs) with homomorphic encryption (HE) for secure, lightweight, and scalable authentication in collaborative edge computing (CEC).
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Key points
- Proposes a novel PUF-based authentication framework integrated with homomorphic encryption (HE) for collaborative edge computing (CEC).
- Ensures sensitive authentication data remains encrypted throughout computation and communication, enabling verification without plaintext access.
- Achieves high resistance to eavesdropping, replay, and machine learning-based attacks while maintaining low latency.
- Enrollment and authentication estimated at 5.6s, with average encrypted key storage of 96 bytes.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract In the current era of collaborative edge computing (CEC), secure and efficient authentication mechanisms are essential for data integrity and privacy across distributed edge data centers (EDCs). This paper proposes a novel PUF-based (Physically Unclonable Functions) authentication framework that leverages homomorphic encryption (HE) to enable secure, lightweight, and scalable authentication. By integrating HE with PUF mechanism the proposed scheme ensures that sensitive authentication data remains encrypted throughout computation and communication, allowing the system to perform verification without direct access to the plaintext PUF responses. The proposed framework is designed to handle the collaborative and dynamic nature of edge networks, supporting real-time authentication in multi-edge scenarios while maintaining low latency and computational efficiency. Experimental results demonstrate that our system achieves high resistance to common attacks, such as eavesdropping, replay, and machine learning-based attacks while adhering to the low-latency requirements of edge networks. The algorithm is verified for safety using the AVISPA SPAN tool and the total time taken for enrollment and authentication is estimated as 5.6s and the average storage size for the encrypted keys are 96 bytes.
The authors' abstract, as published at the source. SN Computer Science, 2026 · DOI ↗
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Hardware and ArchitectureComputer Science