High Fidelity Data Reduction for Big Data Security Dependency Analyses
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Intro
Background
Opportunities and Challenges
Big Data, Why?
Real World Experiences
Problem Statement
Design Intuitions
"Expendable" Dependencies
Controlled Dependency Loss
Domain knowledge Helps
Design Summary
Evaluation Target
Data Reduction Capability
Compare with Nalive
Back-tracking Real Attacks
Resource Consumptions
Conclusion & Future Work
Taught by
ACM CCS