PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection.
Dong-Ok WonYong-Nam JangSeong-Whan LeePublished in: IEEE Trans. Emerg. Top. Comput. (2023)
Keyphrases
- malware detection
- malicious executables
- anomaly detection
- application programming interface
- generative model
- multi agent
- high level
- discriminative classifiers
- neural network
- network structure
- complex networks
- recurrent networks
- anti virus
- api calls
- discriminative training
- training set
- web services
- learning algorithm