FPGA-based Physical Unclonable Functions: A comprehensive overview of theory and architectures
Abstract Physically Unclonable Functions (PUFs) are a promising technology and have
been proposed as central building blocks in many cryptographic protocols and security …
been proposed as central building blocks in many cryptographic protocols and security …
A mutual security authentication method for RFID-PUF circuit based on deep learning
The Industrial Internet of Things (IIoT) is designed to refine and optimize the process
controls, thereby leveraging improvements in economic benefits, such as efficiency and …
controls, thereby leveraging improvements in economic benefits, such as efficiency and …
Deep learning based model building attacks on arbiter PUF compositions
P Santikellur, A Bhattacharyay… - Cryptology ePrint …, 2019 - eprint.iacr.org
Robustness to modeling attacks is an important requirement for PUF circuits. Several
reported Arbiter PUF com-positions have resisted modeling attacks. and often require huge …
reported Arbiter PUF com-positions have resisted modeling attacks. and often require huge …
PUFs deep attacks: Enhanced modeling attacks using deep learning techniques to break the security of double arbiter PUFs
M Khalafalla, C Gebotys - 2019 Design, automation & test in …, 2019 - ieeexplore.ieee.org
In the past decade and a half, physical unclonable functions (PUFs) have been introduced
as a promising cryptographic primitive for hardware security applications. Since then, the …
as a promising cryptographic primitive for hardware security applications. Since then, the …
Neural network modeling attacks on arbiter-PUF-based designs
By revisiting, improving, and extending recent neural-network based modeling attacks on
XOR Arbiter PUFs from the literature, we show that XOR Arbiter PUFs,(XOR) Feed-Forward …
XOR Arbiter PUFs from the literature, we show that XOR Arbiter PUFs,(XOR) Feed-Forward …
Neural-network-based modeling attacks on xor arbiter pufs revisited
By revisiting, improving, and extending recent neural-network based modeling attacks on
XOR Arbiter PUFs from the literature, we show that XOR Arbiter PUFs,(XOR) Feed-Forward …
XOR Arbiter PUFs from the literature, we show that XOR Arbiter PUFs,(XOR) Feed-Forward …
A computationally efficient tensor regression network-based modeling attack on XOR arbiter PUF and its variants
P Santikellur, RS Chakraborty - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
XOR arbiter PUF (XOR APUF), where the outputs of multiple arbiter PUF (APUFs) are XOR-
ed, has proven to be more robust to machine learning-based modeling attacks. The reported …
ed, has proven to be more robust to machine learning-based modeling attacks. The reported …
PUFNet: A deep neural network based modeling attack for physically unclonable function
A deep neural network named PUFNet is proposed, which reveals the unreported threats to
device authentication systems based on physically unclonable functions (PUFs). We …
device authentication systems based on physically unclonable functions (PUFs). We …
Ising-PUF: A machine learning attack resistant PUF featuring lattice like arrangement of arbiter-PUFs
A concept of Ising-PUF, a novel PUF structure that utilizes chaotic behavior of mutually
interacting small PUFs, is proposed. Ising-PUF consists of a lattice like arrangement of small …
interacting small PUFs, is proposed. Ising-PUF consists of a lattice like arrangement of small …
A dynamically configurable LFSR-based PUF design against machine learning attacks
S Hou, D Deng, Z Wang, J Shi, S Li, Y Guo - CCF Transactions on High …, 2021 - Springer
Physical unclonable function (PUF), a reliable and lightweight physical security primitive for
secret key generation and anti-tampering. Strong PUF is an important PUF classification that …
secret key generation and anti-tampering. Strong PUF is an important PUF classification that …