CCS

Hardware has been long considered as the source and root of trust in computing, but the nature of its trust characteristics and views on trust technologies have evolved over time. The infancy of hardware security and trust, decades ago, emerged in the ...

For over twenty years, Physical Unclonable Functions (PUFs) have spurred innovation in hardware security, giving rise to novel systems, protocols, attacks, and a deeper understanding of extracting entropy from the inherent disorder in physical ...

The lightweight cryptography (LWC) standardization process by the National Institute of Standards and Technology (NIST) of the US is the latest example of competitions that require benchmarking and side-channel leakage evaluation of hardware ...

In recent years, there has been a growing focus on improving the efficiency of the power side-channel analysis (SCA) attack by using machine learning or artificial intelligence methods, however, they can only be as good as the data they are trained on. ...

NIST has recently selected CRYSTALS-Kyber as a new public key encryption and key establishment algorithm to be standardized. This makes it important to evaluate the resistance of CRYSTALS-Kyber implementations to side-channel attacks. Software ...

The reliability of measurements is crucial for ensuring the safety of control systems that depend on such measurements. Frequency-modulated continuous-wave (FMCW) radar is an active sensor used to measure distance and speed. Security evaluations of ...

The first generation of post-quantum cryptography (PQC) standards by the National Institute of Standards and Technology (NIST) is just around the corner. The need for secure implementations is therefore increasing. In this work, we address this need and ...

The wide deployment of biometric authentication and particularly fingerprint matching on mobile devices and laptops raises the question about their security. While respective algorithms have been extensively analysed regarding their ability to correctly ...

This paper provides a novel perspective on improving the efficiency of side-channel analysis by applying two deep feature loss functions: Soft Nearest Neighbor (SoftNN) and Center loss. By leveraging these loss functions during the deep neural networks (...

Side-channel attacks (SCA) represent a significant challenge when designing secure hardware. Currently, mitigating the risk of SCA requires costly human expertise. The OpenROAD project, an AI-based initiative, aims to expedite hardware design by ...

Fault injection attacks on cryptographic modules pose significant threats, yet conventional fault injection methods require physical access to the target device. This paper introduces a novel fault injection method using Intentional Electromagnetic ...

Laser fault injection (LFI) refers to a precise attack that introduces specific errors into an operating device. In response to the increasing prevalence of such attacks, recent studies have proposed various countermeasures, primarily including ...

Physical attacks form one of the most severe threats against secure computing platforms. Their criticality arises from their corresponding threat model: By, e.g., passively measuring an integrated circuit (IC)'s environment during a security-related ...

This paper presents a novel approach towards unsupervised SEM image segmentation for IC layout extraction. Existing methods typically rely on supervised machine learning with manually labeled training data, requiring re-training and partial annotation ...