Malware Detection and Classification Based on Graph Convolutional Networks and Function Call Graphs.
Hsiang-Yu ChuangJiann-Liang ChenYi-Wei MaPublished in: IT Prof. (2023)
Keyphrases
- malware detection
- graph classification
- graph structures
- graph structure
- graph theory
- highly connected
- graph representation
- bipartite graph
- directed graph
- graph matching
- pattern recognition
- weighted graph
- average degree
- graph model
- graph theoretic
- spanning tree
- random graphs
- community discovery
- social graphs
- graph data
- small world
- fully connected
- graph partitioning
- social networks
- graph databases
- graph mining
- edge weights
- labeled graphs
- graph construction
- malicious executables
- undirected graph
- machine learning
- feature selection
- degree distribution
- model selection
- graph kernels
- real world networks
- text classification
- unsupervised learning
- graph clustering
- complex networks
- protein interaction networks
- adjacency matrix
- high dimensional
- training set
- subgraph isomorphism
- feature space
- reinforcement learning
- network structure
- community structure