Adaptive Malware Detection In Windows Portable Executables (Wpes)
A Sathish, N. Akhil Babu, M. Bhavani, K. Veena Divya, B Jhoshna, T Hemavathi · 2024
It's crucial to comprehend the characteristics of malware variants that enable them to elude malware detection methods as they are created with the intention of avoiding detection by means of a variety of evasion strategies. It is done by a framework designed to generate undetectable malware samples on Windows executable files by incorporating various techniques such as adding benign sections and obfuscating code. Creating undetectable malware variants using a framework can successfully evaded numerous anti-malware programs, showing significantly higher evasiveness than both the original malware and a previously suggested solution. By examining various perturbations and their efficacy, our results contribute to the improvement of malware detection algorithms by providing a better knowledge of the categories to which more evasive malware variants may belong and how they might be created. To create anti-malware programmed that are capable of successfully identifying malware varieties that have not been observed before, experimental findings and observations would be helpful.