Nov 11, 2020 · In this paper, we summarize the significant features mainly used in detecting malicious samples and classify them according to static and dynamic analysis for ...

In Dynamic analysis, a malicious file is executed in a virtual environment and monitored its activity, during execution malware features are captured such as ...

This paper proposes an integrated static and dynamic analysis method to analyses and classify an unknown executable file. The method uses machine learning in ...

Aug 29, 2023 · While static analysis uses signature-based detection, dynamic analysis uses a behavior-based detection approach. Quickly evolving malware or new ...

This paper proposes an integrated static and dynamic analysis method to analyses and classify an unknown executable file.

The accuracy of dynamic malware analysis is 94.64% while static analysis accuracy is 99.36%.

Apr 21, 2023 · Our work is aimed at developing a static malware detection system to detect Portable Executable (PE) malware using multiple features. We not ...

Static analysis relies on features extracted without executing code, while dynamic analysis extracts features based on code execution (or emulation).

In this work, we employ a robust and efficient approach for malware classification and detection by analyzing both signature-based and anomaly-based features.

This paper proposes a comprehensive approach that combines static checking and dynamic analysis for malware detection. Static analysis is used to check the ...