Results 71 to 80 of about 730 (270)

A Searchable Encryption Scheme Based on CRYSTALS-Dilithium

open access: yesCryptography
With the advancement in quantum computing technology, the number theory-based hard problems underlying traditional searchable encryption algorithms are now vulnerable to efficient quantum attacks.
Minghui Zheng   +3 more
doaj   +1 more source

Symmetric searchable encryption with sharing and unsharing [PDF]

open access: yes, 2017
In this paper, we study Symmetric Searchable Encryption (SSE) in a multi-user setting in which each user dynamically shares its documents with selected other users, allowing sharees also to perform searches.
Yeo K.   +5 more
core   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

open access: yesAdvanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán   +5 more
wiley   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Forward and Backward Private Searchable Encryption from Constrained Cryptographic Primitives [PDF]

open access: yes, 2017
Using dynamic Searchable Symmetric Encryption, a user with limited storage resources can securely outsource a database to an untrusted server, so that the database can still be searched and updated efficiently.
Ohrimenko, Olga   +5 more
core   +1 more source

Human Gut Bacteria and Lipidic Nanoparticles: Particle Composition Predicts Structural Transformation and Bacterial Biocompatibility

open access: yesAdvanced Functional Materials, EarlyView.
Lipidic nanoparticles (LNPs) were incubated with 21 gut bacteria frequently associated with the human microbiome. SAXS revealed that ∼75% of tested species induced structural transformations in monoolein LNPs, whereas phytantriol and phospholipid formulations remained unaffected.
Jonathan Caukwell   +7 more
wiley   +1 more source

Research on data encryption system and technology for cloud storage

open access: yesTongxin xuebao, 2020
To order to address the problem of cloud storage data security,the generic proxy-based data protection system was proposed,which could automatically and transparently secure sensitive data in browser-based cloud storage applications.A novel dynamic ...
Peiyi HAN   +5 more
doaj   +2 more sources

Multi-Keyword Searchable Attribute-Based Encryption Supporting Dynamic Membership Management from Lattices

open access: yes, 2022
With the development of technology, more users upload data to the public cloud for storage and maintenance. The data owners must encrypt their data before uploading them to ensure privacy.
Wang, De-Rong
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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