Evolution strategy based machine learning attack on physical unclonable function
Recently, Physical Unclonable Function (PUF) has been rising as an alternative solution for device authentication. Yet, it still has some problems such as unreliability and vulnerable to Machine Learning Attack. Previous research proves that PUF is prone to Machine Learning Attack. Therefore, this p...
Main Author: | Hadi Sutikno, Eric Darian |
---|---|
Other Authors: | Chang Chip Hong |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/74696 |
Similar Items
-
MARPUF: physical unclonable function with improved machine learning attack resistance
by: Somanath Tripathy, et al.
Published: (2021-08-01) -
Design of an SRAM-based physical unclonable function system
by: Liu, Chao Qun
Published: (2015) -
Modeling attacks on physical unclonable functions
by: Ulrich, Ruhrmair, et al.
Published: (2012) -
Emerging non-volatile memory based physical unclonable functions
by: Zhang, Le
Published: (2016) -
Design of a data converter physical unclonable function
by: Wu, Jie Kai
Published: (2017)