Reentrancy Vulnerability Detection Based on Graph Convolutional Networks and Expert Patterns.
Longtao GuoHuakun HuangSihun XuePeiliang WangLingjun ZhaoPublished in: MCSoC (2023)
Keyphrases
- structural patterns
- detection method
- graph structures
- graph representation
- small world
- detection algorithm
- false positives
- dynamic networks
- object detection
- random walk
- graph structure
- connected components
- graph patterns
- link formation
- betweenness centrality
- average degree
- graph theoretic
- social networks
- neural network
- complex networks
- graph theory
- pattern discovery
- edge weights
- graph data
- human experts
- data mining techniques
- fully connected
- anomaly detection
- graph mining algorithms
- graph layout
- densely connected
- network structure
- sequential patterns
- pattern mining
- power law
- detection rate
- directed acyclic graph
- bipartite graph