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The method of attack detection in corporative networkThe method of attack detection in corporative network
Training Multilingual and Adversarial Attack-Robust Models for Hate Detection on Social Media to adversarial attacks. Additional preprocessing was carried out for all datasets to improve the quality of model
Increasing the sensitivity of the method of early detection of cyber-attacks in telecommunication networks based on traffic analysis by extreme filteringThe paper proposes a method for improving the accuracy of early detection of cyber attacks with a
Neural network model for detecting network scanning attacks of detecting network scanning attacks and describes the targets of network scanning attacks. The main attack
ARDefense: DDoS detection and prevention using NFV and SDN it detects a DDoS attack on the application layer. Effectiveness of ARDefense was tested by measuring load
Предотвращение атак на веб-приложения с использованием машинного обученияDetecting and mitigating critical web vulnerabilities and attacks such as cross-site scripting
Detection of cyber-attacks on the power smart grids using semi-supervised deep learning models methods for detecting cyber-attacks in intelligent energy networks mainly use classical classification
NETWORK DEFENSE THROUGH THE USE OF MACHINE LEARNING or personal computer. With the advancement of methods of cyber-attacks such as zero-day, stealth attacks
Технология организации противодействия компьютерным атакам на информационно-телекоммуникационные системы на базе технологии облачных вычислений of approaches and models for computer attacks detecting and responding is formulated. Based on it, a method
Network attacks classification using Long Short-Term memory based neural networks in Software-Defined Networks of the most relevant types of network attacks. Results show that a simple neural network, such as a multi
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