Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping.
Longtao GuoHuakun HuangLingjun ZhaoPeiliang WangShan JiangChunhua SuPublished in: Comput. Secur. (2024)
Keyphrases
- structural patterns
- graph structures
- false positives
- link formation
- graph structure
- average degree
- structured data
- detection algorithm
- object detection
- directed graph
- community discovery
- random walk
- detection method
- graph patterns
- dynamic graph
- small world
- graph data
- graph theory
- graph representation
- directed acyclic graph
- feature space
- bipartite graph
- social networks
- high dimensional
- data mining techniques
- high dimensional data
- graph mining algorithms
- principal component analysis
- network properties
- citation networks
- low dimensional
- dynamic networks
- domain experts
- frequent patterns
- complex networks
- subspace learning
- biological networks
- connected components
- undirected graph
- graph databases
- pattern discovery