Improving Maliciousness Estimation of Indicator of Compromise Using Graph Convolutional Networks.
Yuta KazatoYoshihide NakagawaYuichi NakataniPublished in: CCNC (2020)
Keyphrases
- average degree
- estimation algorithm
- graph structures
- graph structure
- graph mining
- graph layout
- network analysis
- random walk
- highly connected
- dynamic networks
- community discovery
- citation networks
- accurate estimation
- overlapping communities
- social graphs
- graph partitioning
- small world
- graph model
- directed graph
- network structure
- social networks
- graph theory
- graph representation
- edge weights
- complex networks
- parameter estimation
- fully connected
- graphical models
- trade off
- graph based algorithm
- directed edges
- betweenness centrality
- biological networks
- directed acyclic graph
- community detection
- connected components
- pairwise