Machine learning techniques have significantly changed our lives. They helped improving
our everyday routines, but they also demonstrated to be an extremely helpful tool for more …

Physical unclonable functions (PUFs) offer a promising solution for the authentication of
Internet of Things (IoT) devices as they provide unique fingerprints for the underlying …

Abstract Integrated Circuits (ICs) and electronic devices have become an integral part of
daily human life (mobile, home, car, etc.). However, specific security measures should be …

The last decade has witnessed remarkable research advances at the intersection of
machine learning (ML) and hardware security. The confluence of the two technologies has …

In recent years, physical unclonable functions (PUFs) have gained a lot of attention as
mechanisms for hardware-rooted device authentication. While the majority of the previously …

Physically Unclonable Functions (PUFs) have been considered as promising lightweight
primitives for random number generation and device authentication. Thanks to the …

Hardware fingerprinting has emerged as a viable option for safeguarding IoT devices from
cyberattacks. Such a fingerprint is used to not only authenticate the interconnected devices …

The Internet of Things refers to the large-scale internetworking of diverse devices, many of
them with very limited computational resources. Given the ad-hoc formation of the network …

In the contemporary security landscape, the incorporation of photonics has emerged as a
transformative force, unlocking a spectrum of possibilities to enhance the resilience and …

A Physically Unclonable Function (PUF) is an effective option for device authentication,
especially for IoT frame-works with resource-constrained devices. However, PUFs are …