… As new cyber range capabilities develop and mature, the lessons learned from their use will
… —like potentially learning that Beijing has implanted destructive malware on your country’s …

… Thus, detection of malware is critical to protect smartphone … malware analysis framework
which leverages the technologies of GUI-based testing, big data analysis and machine learning …

… But now malware disguising technologies grow … malware infection logs to predict malware.
We focus on APT (advanced persistent threat). So finally we will use historical malware …

… on smart phone has become a big issue. In the past, … -based Malware detection method
using Machine learning. We … different machine learning algorithms to classify malware and …

… increase in the number of malware programs, the feature database is getting bigger and …
through machine learning and deep learning. In this thesis, we study a large number of malware …

… The existing methods of analyzing malware can be divided … in the field of Android malware
analysis. We turn the opcode … small, which makes deep learning difficult to learn. This study is …

… Thus, detection of malware is critical to protect smartphone … malware analysis framework
which leverages the technologies of GUI-based testing, big data analysis and machine learning …

… (A multi-feature RGB image representation combined with deep learning Android Malware
… and Android Malware Dataset, and categorizing the four categories of malware and malware …