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1
Intro
2
Domain Abuse in Practice
3
Case Study Introduction
4
Lazy: Batch Registration
5
Parasitic: Domain Reuse
6
Ground Truth Labeling Errors
7
Raw Data Overview
8
Registration History Features
9
Batch Correlation Features
10
Feature Vectorization
11
Detection Performance
12
Detection Latency Measurement
13
Evasion Robustness
14
PREDATOR Key Results Registration Detection
Description:
Explore a conference talk from CCS 2016 that delves into PREDATOR, a system for proactively recognizing and eliminating domain abuse at the time of registration. Learn about the challenges of domain abuse in practice, including batch registration and domain reuse techniques. Examine the methodology for ground truth labeling, raw data analysis, and feature extraction from registration history and batch correlations. Discover the detection performance, latency measurements, and evasion robustness of the PREDATOR system. Gain insights into key results for registration detection and its implications for improving cybersecurity measures against malicious domain registrations.

PREDATOR - Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration

Association for Computing Machinery (ACM)
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