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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.
Syllabus
Introduction
The Problem
Overview
Histogram
Endian Nesting
Architecture Detection
Architecture Improvement
Conclusion
Questions
Taught by
IEEE Symposium on Security and Privacy