Malware detection using an ensemble of vision models & LLMs

Abstract

Nowdays, cyber attacks using software are increas ing rapidly. Cyber criminals are finding out new ways to make malware and infect networks. Signature based detection is failing. But, image-based analysis & disassembly show signs of new hope. This paper presents an ensemble-based concept which can be used to produce highly-effective security software.

Keywords

Applied Science - Computer Science

Citation

References

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