Conference Paper


A modelling attack resistant low overhead memristive physical unclonable function

Abstract

Memristors are finding applications in memory, logic, neuromorphic systems, and data security. To this end, we leverage the non-linear behaviour of memristors to devise a low overhead physical unclonable function using a memristive chaos circuit in conjunction with a non-linear memristive encoder. We demonstrate the effectiveness of this architecture in Challenge-Response-Pair based authentication, and for its physical uncloneability. This architecture is highly versatile and can be implemented with a single encoder or a number of encoders running in parallel, each one with its own merit, for extending the sizes of CRPs. To demonstrate its effectiveness, we subject the architecture to machine learning based modelling attacks e.g. Logistic Regression, Support Vector Machines, Random Forest, as well as Artificial Neural Network classifiers. We found out that the proposed PUF architecture provides better resistance to such attacks, even for smaller bit sizes and at reduced overheads.

Attached files

Authors

Yang Xiaohan
Khandelwal, Saurabh
Jiang Aiqi
Jabir, Abusaleh

Oxford Brookes departments

School of Engineering, Computing and Mathematics

Dates

Year of publication: 2020
Date of RADAR deposit: 2020-11-05



“© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”


Related resources

This RADAR resource is the Accepted Manuscript of A modelling attack resistant low overhead memristive physical unclonable function

Details

  • Owner: Joseph Ripp
  • Collection: Outputs
  • Version: 1 (show all)
  • Status: Live
  • Views (since Sept 2022): 181