FedHE-Graph: Federated Learning with Hybrid Encryption on Graph Neural Networks for Advanced Persistent Threat Detection.
Atmane Ayoub Mansour BaharKamel Soaïd FerrahiMohamed-Lamine MessaiHamida SebaKarima AmrouchePublished in: ARES (2024)
Keyphrases
- neural network
- graph representation
- online learning
- learning algorithm
- pattern recognition
- graph theoretic
- random walk
- graph structure
- neural nets
- genetic algorithm
- error back propagation
- hybrid learning
- graph databases
- graph mining
- graph theory
- learning process
- reinforcement learning
- false positives
- connected components
- structured data
- learning systems
- detection method
- graph model
- bipartite graph
- directed acyclic graph
- supervised learning
- object detection
- learning rules
- prior knowledge
- bayesian networks