Cyber Attacks Detection in IoT Networks Using a Distributed Inflated-Mask Encoder-Only Informer Model. [PDF]
Mfondoum RN +5 more
europepmc +1 more source
Explainable AI-Based Intrusion Detection Systems for IoT Environments: A Systematic Literature Review. [PDF]
Varol M, Karakaya A.
europepmc +1 more source
APATCP: programmable multi-controller framework for real-time detection and mitigation of complex TCP flooding attacks in SD-IoT networks. [PDF]
Alyanbaawi A +5 more
europepmc +1 more source
Corrigendum to “A New Metric for Flow-Level Filtering of Low-Rate DDoS Attacks”
openaire +2 more sources
Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder. [PDF]
R S, Rajkumar S.
europepmc +1 more source
A Federated Multi-Agent Communication Framework for Autonomous Cyber Defense in Edge-Cloud IoT Environments. [PDF]
Aydin H.
europepmc +1 more source
Comparative study of the effectiveness of existing methods for low-rate DDoS attacks detection
Denial-of-Services (DoS) attacks are nowadays one of the main problems for small and large companies as they entail a high recovery cost in relation to the frequency that they are suffered. Depending on the intensity of the attack launched, these can be defined as high-rate attacks, which seek for a huge shipment of packets in a short space of time ...
openaire +1 more source
Detecting application layer DDoS attack using an advanced signature detection algorithm. [PDF]
Jaafar AG +4 more
europepmc +1 more source
Qubit-efficient quantum intrusion detection using dual-parameter encoding and multi-metric calibration. [PDF]
Khan L +6 more
europepmc +1 more source
An enhanced multi-model ensemble learning architecture for robust network intrusion detection. [PDF]
Sireesha D, Kumar KA.
europepmc +1 more source

