[HTML][HTML] MalDAE: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics
W Han, J Xue, Y Wang, L Huang, Z Kong, L Mao - computers & security, 2019 - Elsevier
It is a wide-spread way to detect malware by analyzing its behavioral characteristics based
on API call sequences. However, previous studies usually just focus on its static or dynamic …
on API call sequences. However, previous studies usually just focus on its static or dynamic …
MalDAE:: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics
W Han, J Xue, Y Wang, L Huang, Z Kong, L Mao - 2019 - dl.acm.org
It is a wide-spread way to detect malware by analyzing its behavioral characteristics based
on API call sequences. However, previous studies usually just focus on its static or dynamic …
on API call sequences. However, previous studies usually just focus on its static or dynamic …
MalDAE: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics
W Han, J Xue, Y Wang, L Huang, Z Kong, L Mao - Comput. Secur., 2019 - openreview.net
Highlights• Explore the difference and relation between the dynamic and static API call
sequences by defining a number of types of malicious behaviors.• Build a malware detection …
sequences by defining a number of types of malicious behaviors.• Build a malware detection …
[PDF][PDF] MalDAE: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics
W Han, J Xue, Y Wang, L Huang, Z Kong… - computers & …, 2019 - researchgate.net
abstract It is a wide-spread way to detect malware by analyzing its behavioral characteristics
based on API call sequences. However, previous studies usually just focus on its static or …
based on API call sequences. However, previous studies usually just focus on its static or …