Securing the IoT with Diamond: A New Approach to Encryption
A novel authenticated encryption framework, Diamond, offers enhanced security and efficiency for resource-constrained Internet of Things devices.
A novel authenticated encryption framework, Diamond, offers enhanced security and efficiency for resource-constrained Internet of Things devices.
A new graph-based approach guarantees the safety of control systems even when faced with communication or computational failures.
This review explores the properties of burst-covering codes, a powerful technique for correcting concentrated data errors.

A new approach to error correction promises to significantly improve the dependability of STT-MRAM cache memory.

Researchers have identified and mitigated a hidden failure mechanism in STT-MRAM caches caused by accumulating read disturbances, offering a path to significantly improved data retention.
A new analysis reveals critical vulnerabilities in the widely used RAFT consensus algorithm, demonstrating its susceptibility to malicious attacks.
A new review delves into the mathematical properties of quantum polylogarithms, revealing their intricate connections to classical multiple polylogarithms.
Researchers are exploring alternatives to current encryption standards, and a new approach using rank-deficient matrices could offer a faster, more secure path forward.
![The study elucidates a model-the SSH model-governed by alternating hopping terms [latex]t_1[/latex] and [latex]t_2[/latex], alongside random corrections [latex]\tau_n[/latex] and on-site energies [latex]v_n[/latex], as described by tight-binding equations for local amplitudes [latex]\psi_n[/latex].](https://arxiv.org/html/2512.24738v1/SSH2.png)
A new study reveals the surprising resilience of topological edge states in the Su-Schrieffer-Heeger model, even when faced with significant disorder.

Researchers have developed more efficient and secure protocols for multi-party private set intersection, enabling identification of contributing parties while preserving data privacy.