Results 41 to 50 of about 27,662 (296)
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Application of the Bayesian probability classifier for detecting unauthorized access to computer networks [PDF]
With the growing reliance on computer networks for critical information exchange and data storage, the need to ensure their security has become paramount.
Краснитський, С. М. +1 more
core
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Tracking Unauthorized Access Using Machine Learning and PCA for Face Recognition Developments
In the last two decades there has been obtained tremendous improvements in the field of artificial intelligence (AI) especially in the sector of face/facial recognition (FR).
Vasile-Daniel Păvăloaia, George Husac
doaj +1 more source
Protection of SVM model with secret key from unauthorized access
In this paper, we propose a block-wise image transformation method with a secret key for support vector machine (SVM) models. Models trained by using transformed images offer a poor performance to unauthorized users without a key, while they can offer a high performance to authorized users with a key.
Ryota Iijima +2 more
openaire +2 more sources
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Feature’s Classification of Hardware-Software Unites of Trusted Boot
This paper aims of identifying the main and additional features of hardware-software unites of trusted boot, while confirming the need to evaluate their impact on the protection efficiency against unauthorized access and offering ways of classifying them.
Elizaveta Aleksandrovna Belyaeva +1 more
doaj
A Closer Look at Access Control in Multi-User Voice Systems
Voice-controlled systems have revolutionized user interactions, making technology more accessible and intuitive across various settings. In multi-user environments, such as households, voice assistants like Amazon Alexa are favored as they enable ...
Hassan A. Shafei, Chiu C. Tan
doaj +1 more source
CHOICE OF OPTION FOR IMPLEMENTATION OF THE MULTILEVEL SECURE ACCESS TO THE EXTERNAL NETWORK [PDF]
We study the optimal way for design of access scheme called "Direct Connection. This scheme provides a secure access to external network resources, and consists of several groups of routers and two kinds of firewalls.
V. S. Kolomoitcev
doaj +1 more source
SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley +1 more source

