Results 81 to 90 of about 892 (280)

A new leakage resilient symmetric searchable encryption scheme for phrase search

, 2022
Symmetric searchable encryption (SSE) schemes are preferred over asymmetric ones for their lower computational cost. Owing to the big data size of most of the cloud applications, SSE with keyword search often yields a large number of search results ...
Feng, Hao, Ghosh Ray, Indranil, Bag, Samiran   +2 more
core   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Efficient and Provable Security Searchable Asymmetric Encryption in the Cloud

IEEE Access, 2018
Cloud and remote storage, which has become the preferred method for reducing the security risk and safeguarding our data, is widely used for backups or outsourcing.
Jianyi Zhang, Chenggen Song, Zhiqiang Wang, Tao Yang, Wenming Ma   +4 more
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Verifiable attribute-based searchable encryption scheme based on blockchain

Tongxin xuebao, 2020
For the problem that the shared decryption key lacks of fine-grained access control and the search results lacks of correctness verification under one-to-many search model,a verifiable attribute-based searchable encryption scheme based on blockchain was ...
Xixi YAN, Xiaohan YUAN, Yongli TANG, Yanli CHEN   +3 more
doaj   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Pattern-Obfuscated Privacy-Preserving Searchable Symmetric Encryption for Collaborative Multi-Data-Owner Environments

Advances in Electrical and Computer Engineering
Outsourcing encrypted data to the cloud demands efficient and confidentiality-preserving search techniques, yet existing Searchable Symmetric Encryption (SSE) schemes suffer from severe access and search pattern leakage, and the problem is more ...
WANG, D., HUANG, R.
doaj   +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  

Forward Private Searchable Symmetric Encryption with Optimized I/O Efficiency [PDF]

, 2018
Recently, several practical attacks raised serious concerns over the security of searchable encryption. The attacks have brought emphasis on forward privacy, which is the key concept behind solutions to the adaptive leakage-exploiting attacks, and will ...
Xiangfu Song, Dandan Yuan, Minghao Zhao, Changyu Dong, Qiuliang Xu   +4 more
core  

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source