Debiasing Android Malware Datasets: How Can I Trust Your Results If Your Dataset Is Biased?
Tomás Concepción MirandaPierre-François GimenezJean-François LalandeValérie Viet Triem TongPierre WilkePublished in: IEEE Trans. Inf. Forensics Secur. (2022)
Keyphrases
- synthetic datasets
- malware detection
- benchmark datasets
- training dataset
- high dimensional datasets
- uci datasets
- massive datasets
- mobile devices
- database
- reverse engineering
- trust model
- class imbalanced data
- automated tools
- artificial and real world datasets
- microarray datasets
- detect malicious
- pascal voc
- image dataset
- real life
- high quality
- data sets
- standard learning algorithms
- trust management
- test data
- software engineering
- social networks