Research Article

Combat Mobile Evasive Malware via Skip-Gram-Based Malware Detection

Table 3

Dataset samples split 30% and 70% for test and training, respectively, for scenario 1 and scenario 2. 1999 samples from 21 families are excluded from training set for simulating zero-day attack.

Scenario 1Scenario 2

Training setMalware1698215593
Benign1164111641
Test setMalware73226712
Benign49884988
Zero-dayMalware1999