[HTML][HTML] Feature-Selection-Based DDoS Attack Detection Using AI Algorithms

MS Raza, MNA Sheikh, IS Hwang, MS Ab-Rahman - Telecom, 2024 - mdpi.com
SDN has the ability to transform network design by providing increased versatility and
effective regulation. Its programmable centralized controller gives network administration …

A dynamic feature selection technique to detect DDoS attack

US Chanu, KJ Singh, YJ Chanu - Journal Of Information Security And …, 2023 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks are a weapon of choice for hackers
that are accountable for degradation in network performance, website downtime, and …

E-SDNN: encoder-stacked deep neural networks for DDOS attack detection

E Benmohamed, A Thaljaoui, S Elkhediri… - Neural Computing and …, 2024 - Springer
The increasing reliance on internet-based services has heightened the vulnerability of
network infrastructure to cyberattacks, particularly distributed denial of service (DDoS) …

DDoS attack detection with feature engineering and machine learning: the framework and performance evaluation

M Aamir, SMA Zaidi - International Journal of Information Security, 2019 - Springer
This paper applies an organized flow of feature engineering and machine learning to detect
distributed denial-of-service (DDoS) attacks. Feature engineering has a focus to obtain the …

SDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning

NM Yungaicela-Naula, C Vargas-Rosales… - IEEE …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks
targeting conventional and new generation networks, such as the Internet of Things (IoT) …

Unveiling the Effectiveness of CNN-based Models for Multiclass DDoS Attack Detection and Classification: A Comparative Analysis

T Dhirta, A Sharma - … Conference on Data Science, Agents & …, 2023 - ieeexplore.ieee.org
The network infrastructure faces increasing vulnerability to cyber-attacks due to the growing
array of services available over the Internet. Distributed Denial of Service (DDoS) attacks are …

DDOS attack identification using machine learning techniques

S Peneti, E Hemalatha - 2021 International conference on …, 2021 - ieeexplore.ieee.org
One of the major problems that the world faces today is cyber attacks. Denial of Service
attacks have been one of most frequent attacks. Some of the mitigating techniques are …

Machine learning algorithms for DDoS attack detection in cybersecurity

A Bandi, L Sherpa, SM Allu - Modern Approaches in Machine Learning & …, 2022 - Springer
With an increase in the use of systems that heavily rely on networking and programming, the
need for cybersecurity has increased as well. Cyberattacks are an evolving threat to …

[引用][C] DDoS attacks detection with half autoencoder-stacked deep neural network

E Benmohamed, A Thaljaoui, S El Khediri… - International Journal …, 2023 - World Scientific
With the growth in services supplied over the internet, network infrastructure has become
more exposed to cyber-attacks, particularly Distributed Denial of Service (DDoS) attacks …

[HTML][HTML] Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity

MA Hossain, MS Islam - Measurement: Sensors, 2024 - Elsevier
Distributed denial-of-service (DDoS) attacks pose a significant threat to computer networks
and systems by disrupting services through the saturation of targeted systems with traffic …