DDoS attack detection system using Apache spark

H Kousar, MM Mulla, P Shettar… - … and Informatics (ICCCI), 2021 - ieeexplore.ieee.org
Distributed Denial of Service Attacks (DDoS) are most widely used cyber-attacks. Thus,
design of DDoS detection mechanisms has attracted attention of researchers. Design of …

GLD‐Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion

W Guo, H Qiu, Z Liu, J Zhu… - Computational Intelligence …, 2022 - Wiley Online Library
Distributed denial of service (DDoS) attacks are the most common means of cyberattacks
against infrastructure, and detection is the first step in combating them. The current DDoS …

[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 …

Flowguard: An intelligent edge defense mechanism against IoT DDoS attacks

Y Jia, F Zhong, A Alrawais, B Gong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) devices are getting more and more popular in recent years and IoT
networks play an important role in the industry as well as people's activities. On the one …

Spatio-temporal graph convolutional networks for ddos attack detecting

Q Xie, Z Huang, J Guo, W Qiu - Machine Learning for Cyber Security: Third …, 2020 - Springer
Abstract Distributed Denial-of-Service (DDoS) attacks disrupts the availability of essential
services, which are one of the most harmful threats in today's Internet. Many DDoS detection …

Efficient DDoS Attack Detection using Machine Learning Techniques

F Nazarudeen, S Sundar - 2022 IEEE International Power and …, 2022 - ieeexplore.ieee.org
Distributed Denial-of-Service (DDoS) attacks are deliberate attempts to interrupt the regular
traffic of a specific server, network, organization, by flooding the victim or its neighbouring …

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) …

Lightweight Deep Learning Method based on Group Convolution: Detecting DDoS Attacks in IoT Environments

S Yan, H Han, X Dong, Z Xu - 2024 10th International …, 2024 - ieeexplore.ieee.org
Distributed denial-of-service (DDoS) attacks remain one of the major security threats in the
Internet of Things (IoT) domain. Compared to traditional computing devices, IoT devices …

DL-2P-DDoSADF: Deep learning-based two-phase DDoS attack detection framework

M Mittal, K Kumar, S Behal - Journal of Information Security and …, 2023 - Elsevier
In today's tech-driven world, while Internet-based applications drive social progress, their
architectural weaknesses, inadequate security measures, lack of network segmentation …

[PDF][PDF] Analysis Distributed Denial-of-Service Attack Deploy Deep Learning Techniques

S Qureshi, J He, S Tunio, N Zhu, F Ullah… - … Journal of Network …, 2023 - ijns.jalaxy.com.tw
Network devices are essential to connect nodes and users on any given network. Network
devices perform the additional task of protecting services and users from known and …