Results 81 to 90 of about 2,515 (288)

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

A Privacy-Preserving and Identity-Based Personalized Recommendation Scheme for Encrypted Tasks in Crowdsourcing

IEEE Access, 2019
Personalized task recommendation can guarantee that tasks are pushed to the right workers, and thus, requesters gain better-quality output from a crowdsourcing system.
Hui Yin, Yinqiao Xiong, Tiantian Deng, Hua Deng, Peidong Zhu   +4 more
doaj   +1 more source

Biometric-Authenticated Searchable Encryption

, 2020
We introduce Biometric-Authenticated Keyword Search (BAKS), a novel searchable encryption scheme that relieves clients from managing cryptographic keys and relies purely on client’s biometric data for authenticated outsourcing and retrieval of files indexed by encrypted keywords.
Daniel Gardham, Mark Manulis, Constantin Catalin Dragan   +2 more
openaire   +4 more sources

Tight Tradeoffs in Searchable Symmetric Encryption

Journal of Cryptology, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gilad Asharov, Gil Segev 0001, Ido Shahaf   +2 more
openaire   +2 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced 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, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Leakage-Abuse Attacks Against Searchable Encryption [PDF]

, 2019
Schemes for secure outsourcing of client data with search capability are being increasingly marketed and deployed. In the literature, schemes for accomplishing this efficiently are called Searchable Encryption (SE).
Jason Perry, Thomas Ristenpart, David Cash, Paul Grubbs   +3 more
core  

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

Advanced 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, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Fuzzy Searchable Symmetric Encryption: Design and Implementation of a Novel Scheme Toward Real-World Applications [PDF]

openMost services and applications employ cloud-based solutions to store user data. To provide users with the ability to perform search queries, these services typically encrypt the data with keys known to the server, allowing search results to be ...
RAGUSA, SIMONE
core  

Multiuser Searchable Encryption with Token Freshness Verification [PDF]

, 2017
A Multiuser Searchable Encryption (MUSE) can be defined with the notion of Functional Encryption (FE) where a user constructs a search token from a search key issued by an Enterprise Trusted Authority (ETA).
Dhruti Sharma, Devesh C. Jinwala
core   +1 more source

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

Advanced 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, Emily L. Gulliver, Livia Salvati Manni, Frithjof Herb, Caitlin Welsh, Samuel C. Forster, Andrew J. Clulow, Wye‐Khay Fong   +7 more
wiley   +1 more source