, 2023 Distributed Denial-of-Service (DDoS) is one of the most common cyberattack used by malicious actors. It has been evolving over the years, using more complex techniques to increase its attack power and surpass the current defense mechanisms. Due to the existent number of different DDoS attacks and their constant evolution, companies need to be ...
openaire +1 more source
Retraction Note: Strengthening network DDOS attack detection in heterogeneous IoT environment with federated XAI learning approach. [PDF]
Sci RepAlmadhor A +4 more
europepmc +1 more source
Identification and detection of DDoS attack on smart home infrastructure using machine learning models. [PDF]
Sci RepRaja TV +4 more
europepmc +1 more source
An efficient three-tier defense mechanism for mitigation of DDoS attack with port connection analysis in SDN. [PDF]
Sci RepRajper A +5 more
europepmc +1 more source
Dynamic weight clustered federated learning for IoT DDoS attack detection. [PDF]
Sci RepBeshah YK, Abebe SL, Melaku HM.
europepmc +1 more source
SFARP: a multi-layered real-time security framework for hybrid ARP and DDoS attack defense in SD-IoT networks. [PDF]
Sci RepEl-Sayed A +3 more
europepmc +1 more source
Lightweight machine learning framework for efficient DDoS attack detection in IoT networks. [PDF]
Sci RepNawaz M +4 more
europepmc +1 more source
Informer-based DDoS attack detection method for the power Internet of Things. [PDF]
PLoS OneCui W, Liao X, Yang Y, Feng S, Song M.
europepmc +1 more source
Resistance of IoT Sensors against DDoS Attack in Smart Home Environment. [PDF]
Sensors (Basel), 2020 Huraj L, Šimon M, Horák T.
europepmc +1 more source
DDoS attack detection in Edge-IIoT digital twin environment using deep learning approach. [PDF]
PeerJ Comput SciAl-Obeidat F +3 more
europepmc +1 more source