Original title: Fortified-Edge: Secure PUF-Based Authentication Mechanism for Integrated Cybersecurity in Collaborative Edge Computing
Seema G. Aarella, Saraju P. Mohanty, Elias Kougianos, Deepak Puthal · September 2026
Edge networks share data across many small, spread-out data centers, making them vulnerable to digital attacks. To fix this, researchers built a lightweight authentication framework to verify devices securely. It works by combining Physically Unclonable Functions, or PUFs, with homomorphic encryption. A PUF acts like a unique physical fingerprint built into a computer chip. Homomorphic encryption lets a system do math directly on encrypted data without unlocking it first. Because of this, the network can check a device's identity while the sensitive fingerprint data stays scrambled the entire time. Tests showed that the system successfully blocks eavesdropping, replay, and machine learning attacks. It also verifies identities in real time while keeping latency and computing demands low.
Imagine you have a lockbox with a unique, unchangeable scratch pattern inside, like a fingerprint. You need to prove you own the box without showing the pattern to anyone. Normally, you'd open it and show the pattern, but that risks copying it. Instead, you slide the box into a machine that checks the pattern through a special window that scrambles what it sees—it confirms the pattern matches without ever seeing it clearly. In this paper, the PUF is the scratch pattern, and homomorphic encryption is that special window, allowing the system to verify identity without exposing the secret.
Edge computing powers smart devices, self-driving cars, and factory robots, but these systems are vulnerable to attacks because they share data across many small servers. This work lets those servers verify each other's identity using a hardware fingerprint that cannot be copied, and keeps that fingerprint encrypted so even if someone intercepts the data, they learn nothing. That means faster, safer authentication for the networks that run our everyday tech.
The abstract does not specify how the scheme performs under very high network loads or with a large number of simultaneous devices. It also does not address potential physical attacks on the PUF hardware itself, such as side-channel or invasive probing. The 5.6-second timing and 96-byte storage are reported for a specific test setup, so real-world performance may vary.
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Fortified-Edge: Secure PUF-Based Authentication Mechanism for Integrated Cybersecurity in Collaborative Edge Computing — Seema G. Aarella, Saraju P. Mohanty, Elias Kougianos et al. — SN Computer Science — doi:10.1007/s42979-026-05353-2
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.