MalGNE: Enhancing the Performance and Efficiency of CFG-Based Malware Detector by Graph Node Embedding in Low Dimension Space.
Hao PengJieshuai YangDandan ZhaoXiaogang XuYuwen PuJianmin HanXing YangMing ZhongShouling JiPublished in: IEEE Trans. Inf. Forensics Secur. (2024)
Keyphrases
- graph structure
- directed graph
- nodes of a graph
- vector space
- lower dimension
- random walk
- space time
- graph representation
- graph theory
- graph embedding
- embedding space
- high dimension
- dimensional data
- nearest neighbor graph
- equivalence classes
- multidimensional space
- finding the shortest path
- search space
- undirected graph
- graph model
- weighted graph
- connected components
- low dimensional
- edge weights
- graph partitioning
- dynamic analysis
- malware detection
- directed acyclic graph
- reverse engineering
- root node
- multi dimensional scaling
- dimensional euclidean space
- detection algorithm