Comparing the performance of supervised machine learning algorithms when used with a manual feature selection process to detect Zeus malware.
Mohamed Ali KaziSteve WoodheadDiane GanPublished in: Int. J. Grid Util. Comput. (2022)
Keyphrases
- malware detection
- feature vectors
- detect malicious
- detection algorithm
- supervised machine learning algorithms
- semi automatic
- feature set
- detection method
- error prone
- invariant features
- automatic detection
- anti virus
- labor intensive
- complex background
- reverse engineering
- neural network
- image features
- image retrieval
- association rules