Anticoncept Drift Method for Malware Detector Based on Generative Adversarial Network
The number of new malware has been increasing year by year, and the construction of the malware sample space is also changing with time. The existing research studies on malware detection mainly focus on how to improve detection performance and how to effectively detect the evasion malware and impro...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2021-01-01
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| Series: | Security and Communication Networks |
| Online Access: | http://dx.doi.org/10.1155/2021/6644107 |