Detection and Mitigation of Distributed Denial of Service Attacks Using Ensemble Learning and Honeypots in a Novel SDN-UAV Network Architecture
The combination of Software-Defined Networking (SDN) with Unmanned Aerial Vehicles
(UAVs) has transformed wireless communication and data transmission. However, this …
(UAVs) has transformed wireless communication and data transmission. However, this …
Identifying Distributed Denial of Service Attacks through Multi-Model Deep Learning Fusion and Combinatorial Analysis
Abstract Distributed Denial of Service (DDoS) attacks pose a major threat to organizations
by overwhelming their networks and servers. Effective identification of DDoS attacks is …
by overwhelming their networks and servers. Effective identification of DDoS attacks is …
Advancing ncaa march madness forecasts through deep learning and combinatorial fusion analysis
This paper presents a novel methodology for accurately predicting game outcomes in the
NCAA Men's Basketball Tournament, known as March Madness. The high variance inherent …
NCAA Men's Basketball Tournament, known as March Madness. The high variance inherent …
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
Distributed Denial of Service (DDoS) attacks pose an increasingly substantial cybersecurity
threat to organizations across the globe. In this paper, we introduce a new deep learning …
threat to organizations across the globe. In this paper, we introduce a new deep learning …
Precision DDoS Detection through Gaussian Noise-Augmented Neural Networks
The detection of Distributed Denial of Service (DDoS) attacks is a critical challenge in
network security, requiring effective and efficient solutions to safeguard data and services …
network security, requiring effective and efficient solutions to safeguard data and services …
Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators
The rapid growth of the stock market has attracted many investors due to its profit potential.
However, accurately predicting stock prices is challenging due to the complexity and …
However, accurately predicting stock prices is challenging due to the complexity and …
IGED: Towards Intelligent DDoS Detection Model Using Improved Generalized Entropy and DNN.
Y Liu, Y Han, H Chen, B Zhao… - … , Materials & Continua, 2024 - search.ebscohost.com
As the scale of the networks continually expands, the detection of distributed denial of
service (DDoS) attacks has become increasingly vital. We propose an intelligent detection …
service (DDoS) attacks has become increasingly vital. We propose an intelligent detection …
Intelligent DoS and DDoS Detection: A Hybrid GRU-NTM Approach to Network Security
Detecting Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks remains
a critical challenge in cybersecurity. This research introduces a hybrid deep learning model …
a critical challenge in cybersecurity. This research introduces a hybrid deep learning model …
The use of digital methods to identify the structural and territorial units of the central-southern dialect of the Udmurt language based on the analysis of field records
AF Utkina - Proceedings of the Institute for System Programming of …, 2023 - mathnet.ru
The article presents the results of computer phonetic-etymological and glottochronological
analysis of data from the dialect of the village of Bobya-Ucha, Malopurginsky District, Udmurt …
analysis of data from the dialect of the village of Bobya-Ucha, Malopurginsky District, Udmurt …
Análisis de seguridad en sistemas serverless
M Fernández Zorrilla - 2024 - rua.ua.es
La computación sin servidor (o serverless para abreviar) es un modelo de ejecución en el
que el proveedor en la nube (AWS, Azure o Google Cloud) es responsable de ejecutar un …
que el proveedor en la nube (AWS, Azure o Google Cloud) es responsable de ejecutar un …