May 29, 2019 · In this paper, we propose a novel Android malware detection method based on the method-level correlation relationship of application's abstracted API calls.
The methods based on Call Graphs(CG) are good at behavioral semantic analysis but face the problem of huge time and space consumption, which leads to low ...
This paper proposes a novel Android malware detection method based on the method-level correlation relationship of application's abstracted API calls, ...
Jun 7, 2019 · The methods based on call graphs (CG) are good at behavioral semantic analysis but face the problem of huge time and space consumption, which ...
The process of differentiating the combinations of API calls in the method of malicious and benign apps is the key to establish the detection system. Therefore, ...
People also ask
What is a behavior based approach for malware detection?
How to detect malware in Android?
What is behavioral analysis in malware analysis?
Which machine learning algorithm is best for malware detection?
Duration: 1:15
Posted: Sep 9, 2019
Posted: Sep 9, 2019
Dec 6, 2021 · The approaches based on call graphs (CG) are effective in behavioral semantic analysis, but they have a significant time and space overhead, ...
In this paper, we propose a novel Android malware detection method (named SeGDroid) that focuses on learning the semantic knowledge from sensitive function call ...
Duration: 18:18
Posted: Dec 1, 2020
Posted: Dec 1, 2020
We propose an approach for Android malware detection based on Graph Convolutional Networks (GCNs). Our method focuses on learning the behavioral-level features ...