Science

A new framework leverages the power of large language models to automate key security operations, from threat identification to incident resolution.

A new paradigm integrates covert and secrecy techniques to boost both security and spectral efficiency in wireless networks.

New research reveals that while large language models can produce functional cryptographic code in Rust, it often contains critical security vulnerabilities that require specialized tools to detect.

Inconsistent evaluation methods are masking true performance differences between neutral-atom quantum compilers, hindering progress in the field.

Researchers have developed the first machine-verified theorems guaranteeing the security of masked Number Theoretic Transform (NTT) implementations crucial for post-quantum cryptography.

As we transition to post-quantum cryptography, increasing certificate chain sizes are demonstrably impacting TLS handshake performance and user experience.

Researchers have developed a novel framework for rigorously verifying the correctness of quantum communication protocols, ensuring they behave as expected under realistic physical constraints.

Researchers have developed a new approach to protect industrial control systems from sophisticated attacks, even in the face of emerging quantum computing threats.

New research reveals that even randomized elliptic curve implementations are vulnerable to single-trace side-channel attacks exploiting data and address leakage in field operations.

A new approach leverages collaborative agents and game theory to dramatically improve the efficiency and accuracy of identifying software vulnerabilities.