학술논문
A novel hybrid delay based physical unclonable function immune to machine learning attacks
Document Type
Conference
Source
2017 IEEE National Aerospace and Electronics Conference (NAECON) Aerospace and Electronics Conference (NAECON), 2017 IEEE National. :84-87 Jun, 2017
Subject
Language
ISSN
2379-2027
Abstract
In this paper, machine learning attacks are performed on a novel hybrid delay based Arbiter Ring Oscillator PUF (AROPUF). The AROPUF exhibits improved results when compared to traditional Arbiter Physical Unclonable Function (APUF). The challenge-response pairs (CRPs) from both PUFs are fed to the multilayered perceptron model (MLP) with one hidden layer. The results show that the CRPs generated from the proposed AROPUF has more training and prediction errors when compared to the APUF, thus making it more difficult for the adversary to predict the CRPs.