Y. Chai, L. Du, J. Qiu, L. Yin and Z. Tian, “Dynamic Prototype Network Based on Sample Adaptation for Few-Shot Malware Detection,” in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 5, pp. 4754-4766, 1 May 2023, doi: 10.1109/TKDE.2022.3142820.
Introduction
动态检测能够根据执行路径和行为获取更全面的信息，但是执行耗时，且可以被反沙箱手段躲避；静态速度快，但是依赖反汇编引擎，且很难从混淆和加壳的软件中提取正确的语义或有代表性的特征。
Filtered LargePE dataset.
参考文献中可读内容
TESSERACT: Eliminating experimental bias in malware classification across space and time
跨越时间和空间的恶意软件分类偏差消解