Dataset-centric evaluation of federated intrusion detection models in IoT networks. [PDF]
Bilal MA +5 more
europepmc +1 more source
Interpretable intrusion detection for IoT environments using a self-attention-based explainable AI framework. [PDF]
Sharma KP +9 more
europepmc +1 more source
The design space of E(3)-equivariant atom-centred interatomic potentials. [PDF]
Batatia I +8 more
europepmc +1 more source
Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Saeed NH +3 more
europepmc +1 more source
Secure federated learning with metaheuristic optimized dimensionality reduction and multi-head attention for DDoS attack mitigation. [PDF]
Alanazi AA +5 more
europepmc +1 more source
An optimized stacking-based TinyML model for attack detection in IoT networks. [PDF]
Sharma A, Rani S, Shabaz M.
europepmc +1 more source
Few-shot network intrusion detection method based on multi-domain fusion and cross-attention. [PDF]
Xu C +5 more
europepmc +1 more source
MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection. [PDF]
Xu C, Yang J, Li P.
europepmc +1 more source
A Comprehensive and Unified Survey on Blockchain-Enabled SDN Cybersecurity: Industry Use Cases, Threat Landscapes, Defense Architectures, and Open Challenges. [PDF]
Dudukcu D +4 more
europepmc +1 more source
Malicious botnets have become a common threat and pervade large parts of the Internet today. Existing surveys and taxonomies focus on botnet topologies, Command and Control (C&C) protocols, and botnet objectives.
Gernot Vormayr, Tanja Zseby
exaly +2 more sources

