Authentication is an essential cryptographic primitive that confirms the identity of parties
during communications. For security, it is important that these identities are complex, in order …

In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

In recent years, the study of lightweight symmetric ciphers has gained interest due to the
increasing demand for security services in constrained computing environments, such as in …

In the applications of biometric authentication and video surveillance, the image sensor is
expected to provide certain degree of trust and resiliency. This paper presents a new low …

We propose a novel class of Digital Nonlinear Oscillators (DNOs) supporting complex
dynamics, including chaos, suitable for the definition of high-performance and low …

Authentication is the act of proving that an integrated circuit (IC) is not counterfeit. One
application of a physical unclonable function (PUF) circuit is to authenticate the identity of …

Physically unclonable functions (PUFs) are one of the most important breakthrough for
security of devices as they represent a low-cost means to provide authentication and secure …

The concept presented in this paper fits into the current trend of highly secured hardware
authentication designs utilizing Physically Unclonable Functions (PUFs) or Physical …

In this paper, a compact circuit solution for silicon‐based static physical unclonable functions
(PUFs) is presented. The proposed solution exploits the variability of a simple voltage …

The cellular neural network (CNN or CeNN) is known to be useful because of its suitability in
real-time processing, parallel processing, robustness, flexibility, and energy efficiency …