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

By S. Hao, Alex Kantchelian, Brad Miller, Vern Paxson, N. Feamster. 2016

136 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Battista Biggio
2. Fabio Roli
3. Bo Li
4. Nicholas Carlini
5. Matthew Jagielski
6. Alina Oprea
7. Igino Corona
8. Nicolas Papernot

In Computer Networks and Communications

1. Battista Biggio
2. Fabio Roli
3. Igino Corona
4. Bo Li
5. Alina Oprea
6. Chang Liu
7. Davide Ariu
8. Giorgio Fumera

In Information Systems

1. Battista Biggio
2. Fabio Roli
3. Bo Li
4. Igino Corona
5. Giorgio Fumera
6. Alina Oprea
7. Cristina Nita-Rotaru
8. Davide Ariu

Citations in the corpus

• Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning (2018, background): “For instance, in cyber-security analytics, new Indicators of Compromise (IoC) rise due to the natural evolution of malicious threats, resulting in updates to machine learning models for threat detection [22].”
• DeltaPhish: Detecting Phishing Webpages in Compromised Websites (2017, background): “This also circumvents recent approaches that detect malicious domains by evaluating abnormal domain behaviors ( e.g. , burst registrations, typosquatting domain names), induced by the need of automatizing domain registration [9].”