Results 21 to 30 of about 5,964 (223)

Leveled Certificateless Fully Homomorphic Encryption Schemes From Learning With Errors

IEEE Access, 2020
Fully homomorphic encryption (FHE) is a form of public-key encryption that allows the computation of arbitrary functions on encrypted data without decrypting the data. As a result, it is a useful tool with numerous applications.
Mingxiang Li
doaj   +1 more source

A New Certificateless Aggregate Signature Scheme [PDF]

Jisuanji gongcheng, 2017
On the basis of the certificateless short signature,this paper proposes a certificateless aggregate signature scheme in resource constrained environment.A signature protocol is initiated by the specified aggregator.The state information including random ...
CAO Suzhen,DAI Wenjie,SUN Han,WANG Xiuya
doaj   +1 more source

Certificateless signature scheme without random oracles

Tongxin xuebao, 2015
The security of certificateless signature schemes can be proved under the random oracle model.However，any implementation of the random oracle may result in insecure schemes.Some certificateless signature schemes without random oracles are not secure ...
Yan-qiong LI, Ji-guo LI, Yi-chen ZHANG
doaj   +2 more sources

A Secure User Authentication Protocol for Heterogeneous Mobile Environments

IEEE Access, 2022
Mobile devices have become very important for our daily needs. The user authentication protocols with the key agreement are required to deal with the security issues that arise from the use of mobile devices through Internet applications.
Alzubair Hassan, Rafik Hamza, Fagen Li, Awad Ali, Mohammed Bakri Bashir, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, Adil Yousif   +7 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

Oracle inequalities for weighted group lasso in high-dimensional misspecified Cox models

Journal of Inequalities and Applications, 2020
We study the nonasymptotic properties of a general norm penalized estimator, which include Lasso, weighted Lasso, and group Lasso as special cases, for sparse high-dimensional misspecified Cox models with time-dependent covariates.
Yijun Xiao, Ting Yan, Huiming Zhang, Yuanyuan Zhang   +3 more
doaj   +1 more source

Universally Composable Oblivious Transfer with Low Communication

Applied Sciences, 2023
In this paper, a universally composable 1-out-of-N oblivious transfer protocol with low communication is built. This protocol obtained full simulation security based on the modulo learning with rounding (Mod-LWR) assumption.
Jiashuo Song, Dongfei Wang, Zhenzhen Zhang, Zhenzhen Li, Haiyang Ding, Zichen Li   +5 more
doaj   +1 more source

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

A Private Quantum Bit String Commitment

Entropy, 2020
We propose an entanglement-based quantum bit string commitment protocol whose composability is proven in the random oracle model. This protocol has the additional property of preserving the privacy of the committed message.
Mariana Gama, Paulo Mateus, André Souto
doaj   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source