Detecting application layer DDoS attack using an advanced signature detection algorithm. [PDF]
Jaafar AG +4 more
europepmc +1 more source
LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems. [PDF]
Bamashmoos F, Khairullah E.
europepmc +1 more source
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
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
A hybrid machine learning approach for detecting DDoS attacks in software-defined networks. [PDF]
Mahar IA +5 more
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
A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions. [PDF]
Reddy DS, Kumar KA.
europepmc +1 more source
Booters: can anything justify distributed denial-of-service (DDoS) attacks for hire?
David Douglas +4 more
semanticscholar +1 more source
FL-TWIN: a unified federated learning system for intrusion detection with digital twins modelling. [PDF]
Hamwi AA, Mittal M.
europepmc +1 more source
Cyber Offending Among Young People: an Analysis of the Correlates for Different Categories of Cyber-Dependent Offending Using the Triple Risk Delinquency Framework. [PDF]
Weulen Kranenbarg M, Gonzalez-Garcia A.
europepmc +1 more source

