Analysis of Swarm Intelligence Based ANN Algorithms for Attacking PUFs
Physical Unclonable Functions (PUFs) are used for authentication and generation of secure cryptographic keys. However, recent research work has shown that PUFs, in general, are vulnerable to machine learning modeling attacks. From a subset of Challenge-Response Pairs (CRPs), the remaining CRPs can b...
Main Authors: | Ahmed Oun, Noor Ahmad Hazari, Mohammed Y. Niamat |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9526634/ |
Similar Items
-
Reliable Delay Based Algorithm to Boost PUF Security Against Modeling Attacks
by: Fathi Amsaad, et al.
Published: (2018-09-01) -
A Novel Ultra-Compact FPGA PUF: The DD-PUF
by: Riccardo Della Sala, et al.
Published: (2021-09-01) -
FPGA-Based PUF Designs: A Comprehensive Review and Comparative Analysis
by: Kusum Lata, et al.
Published: (2023-11-01) -
Physical Unclonable Functions in the Internet of Things: State of the Art and Open Challenges
by: Armin Babaei, et al.
Published: (2019-07-01) -
A PUF-based cryptographic security solution for IoT systems on chip
by: Alexandra Balan, et al.
Published: (2020-11-01)