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on
1
Introduction
2
The Problem
3
Overview
4
Histogram
5
Endian Nesting
6
Architecture Detection
7
Architecture Improvement
8
Conclusion
9
Questions
Description:
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

IEEE
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