Results 41 to 50 of about 385 (169)
HCTR+: An Optimally Secure TBC-Based Accordion Mode
The design of tweakable wide-block ciphers has advanced significantly over the past two decades. This evolution began with the wide-block cipher by Naor and Reingold.
Nilanjan Datta +4 more
doaj +1 more source
Tweakable Ciphers: Constructions and Applications
Tweakable ciphers are a building block used to construct a variety of cryptographic algorithms. Typically, one proves (via a reduction) that a tweakable-cipher-based algorithm is about as secure as the underlying tweakable cipher.
Terashima, Robert Seth
core +1 more source
The forkcipher framework was designed in 2018 by Andreeva et al. for authenticated encryption of short messages. Two dedicated ciphers were proposed in this framework: ForkAES based on the AES (and its tweakable variant Kiasu-BC), and ForkSkinny based on
Augustin Bariant +2 more
doaj +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Spook: Sponge-Based Leakage-Resistant Authenticated Encryption with a Masked Tweakable Block Cipher
This paper defines Spook: a sponge-based authenticated encryption with associated data algorithm. It is primarily designed to provide security against side-channel attacks at a low energy cost. For this purpose, Spook is mixing a leakageresistant mode of
Davide Bellizia +14 more
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Objective Cardiac involvement is a major cause of morbidity in systemic lupus erythematosus (SLE). Tumor necrosis factor–like weak inducer of apoptosis (TWEAK) is elevated in SLE, but its contribution to lupus‐associated cardiac injury is unclear. We investigated the role of TWEAK/fibroblast growth factor–inducible 14 (Fn14) signaling in SLE‐related ...
Yale Liu +12 more
wiley +1 more source
MILP-Aided Related-Tweak/Key Impossible Differential Attack and its Applications to QARMA, Joltik-BC
In this paper, we study the relation of related-tweak/key impossible differentials with single-key ones. Following a heuristic strategy, we can derive longer related-tweak/key impossible differentials from single-key ones. We implement this strategy with
Rui Zong, Xiaoyang Dong
doaj +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source

