DREVAN: Deep Reinforcement Learning-based Vulnerability-Aware Network Adaptations for Resilient Networks.
Qisheng ZhangJin-Hee ChoTerrence J. MooreFrederica Free-NelsonPublished in: CNS (2021)
Keyphrases
- network structure
- reinforcement learning
- complex networks
- network size
- network topologies
- computer networks
- network design
- scale free
- transport network
- telecommunication networks
- network model
- community structure
- sparsely connected
- network parameters
- counter propagation
- network resources
- cellular networks
- information networks
- heterogeneous networks
- real world networks
- social networks
- community detection
- network traffic
- dynamic networks
- citation networks
- high bandwidth
- connectionist networks
- fully connected
- machine learning
- power law
- peer to peer
- multi agent
- buffer overflow
- link failure
- criminal networks
- recurrent networks
- transportation networks
- social network analysis
- internet traffic
- network nodes
- communication networks
- network coding
- terrorist networks
- network infrastructure
- ip addresses
- markov decision processes
- link prediction
- state space
- network analysis
- neural network
- cohesive subgroups