About this document
Chapter 4 by Yash Agarwal is a document available to read on EtoBox.
This chapter discusses the need for advanced malware detection methods in response to evolving cyber threats, highlighting the inadequacies of traditional signature-based approaches. It proposes a novel framework utilizing Deep Learning and Computer Vision techniques, specifically through the ResNet-50 architecture, to classify malware by transforming binary executables into grayscale images. The methodology emphasizes efficiency, scalability, and privacy considerations, aiming to create a robust, real-time
- Author
- Yash Agarwal
- Language
- EN