RGDroid: Detecting Android Malware with Graph Convolutional Networks against Structural Attacks.
Yakang LiYikun HuYizhuo WangYituo HeHaining LuDawu GuPublished in: SANER (2023)
Keyphrases
- detect malicious
- detecting malicious
- malware detection
- structural patterns
- edge weights
- weighted graph
- graph structure
- structural information
- network intrusion detection systems
- average degree
- graph theory
- complex networks
- network structure
- community discovery
- graph layout
- network analysis
- graph representation
- small world
- malicious code
- betweenness centrality
- structured data
- graph structures
- social networks
- end hosts
- bipartite graph
- random walk
- directed graph
- overlapping communities
- mobile devices
- computer networks
- intrusion detection
- terrorist networks
- citation networks
- clustering coefficient
- malicious activities
- fully connected
- countermeasures
- directed acyclic graph
- network security