This course aims to teach learners how to proactively recognize and eliminate domain abuse at the time of registration. The course covers topics such as domain abuse in practice, batch registration, domain reuse, labeling errors, feature vectorization, detection performance, and evasion robustness. The teaching method includes case studies, raw data overview, and key results presentation. This course is intended for individuals interested in cybersecurity, domain registration, and online abuse prevention.
PREDATOR - Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Intro
Domain Abuse in Practice
Case Study Introduction
Lazy: Batch Registration
Parasitic: Domain Reuse
Ground Truth Labeling Errors
Raw Data Overview
Registration History Features
Batch Correlation Features
Feature Vectorization
Detection Performance
Detection Latency Measurement
Evasion Robustness
PREDATOR Key Results Registration Detection
Taught by
ACM CCS
