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The document reviews the evolving landscape of cybersecurity, focusing on the limitations of traditional malware detection methods and the potential of transformer-based models for improved effectiveness. It discusses the challenges of detecting advanced threats like polymorphic malware and zero-day attacks, while proposing transformer applications to enhance detection accuracy and efficiency. The paper also outlines future research directions to address the limitations of these models in real-world cyberse

Author

minaouiahmed2

Language

EN