Binary Analysis with Architecture and Code Section Detection Using Supervised Machine Learning

Explore binary analysis techniques focusing on architecture and code section detection using supervised machine learning in this 18-minute IEEE conference talk. Delve into the challenges of binary analysis, learn about histogram-based approaches, and understand the concept of endian nesting. Discover methods for improving architecture detection and gain insights into the latest advancements in this field. Conclude with a Q&A session to address any lingering questions on this cutting-edge topic in computer science and cybersecurity.