Dynamic graph neural network-based framework to increase detection accuracy in SDN under DDOS. [PDF]
Kalafy SAA, Pashazadeh S, Salehpour P.
europepmc +1 more source
Mitigating distributed denial of service attacks using attribute subset selection with temporal convolutional networks. [PDF]
Alamro H +7 more
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Datasets for distributed denial-of-service detection in healthcare internet of things environments. [PDF]
Akhi M, Eising C, Dhirani LL.
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Correction: NIDD-enabled lightweight intrusion detection for effective DDoS mitigation in 5G and beyond. [PDF]
Javid I +6 more
europepmc +1 more source
A dataset collected in real-world industrial control systems for network attack detection. [PDF]
Zhou X +9 more
europepmc +1 more source
A hybrid blockchain based deep learning model for multivector attack detection in internet of things enabled healthcare systems. [PDF]
Sengan S, Shieh CS, Horng MF.
europepmc +1 more source
Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems. [PDF]
Alkhliwi S.
europepmc +1 more source
Ensemble-based detection of distributed denial-of-service attacks in IoT networks using majority decision mechanisms. [PDF]
Cheng S, Feng X.
europepmc +1 more source
FORT-IDS: a federated, optimized, robust and trustworthy intrusion detection system for IIoT security. [PDF]
Mazroa AA.
europepmc +1 more source
A lightweight blockchain based scalable and collaborative mitigation framework against new flow DDoS attacks in SDN enabled autonomous systems. [PDF]
Garg S, Goyal S, Bhandari A.
europepmc +1 more source

