Identifying parasitic malware as outliers by code clustering.
Hongcheng LiJianjun HuangBin LiangWenchang ShiYifang WuShilei BaiPublished in: J. Comput. Secur. (2020)
Keyphrases
- outlier detection
- data points
- malicious code
- clustering algorithm
- clustering method
- detecting outliers
- static analysis
- control flow
- neural network
- arbitrary shape
- k means
- unsupervised learning
- graph theoretic
- categorical attributes
- missing data
- missing values
- data clustering
- similarity function
- density estimation
- categorical data
- source code
- object oriented
- clustering analysis
- case study
- data sets