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.
Binary Analysis with Architecture and Code Section Detection Using Supervised Machine Learning
Overview
Syllabus
Introduction
The Problem
Overview
Histogram
Endian Nesting
Architecture Detection
Architecture Improvement
Conclusion
Questions
Taught by
IEEE Symposium on Security and Privacy
