Scalable fine-grained behavioral clustering of HTTP-based malware

By Roberto Perdisci, Davide Ariu, Giorgio Giacinto. 2013

71 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

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. Giorgio Fumera
4. Giorgio Giacinto
5. Samuel Rota Bulò
6. Marcello Pelillo
7. Ignazio Pillai
8. Davide Ariu

In Computer Networks and Communications

1. Battista Biggio
2. Fabio Roli
3. Giorgio Fumera
4. Samuel Rota Bulò
5. Ignazio Pillai
6. Marcello Pelillo
7. Davide Ariu
8. Giorgio Giacinto

In Signal Processing

1. Battista Biggio
2. Fabio Roli
3. Giorgio Fumera
4. Samuel Rota Bulò
5. Ignazio Pillai
6. Marcello Pelillo
7. Giorgio Giacinto
8. Davide Ariu

Citations in the corpus

• Is data clustering in adversarial settings secure? (2013, methodology): “We consider here a more realistic application example involving malware clustering, and in particular a simplified version of the algorithm for behavioral malware clustering proposed in [23].”
• Pattern Recognition Systems under Attack: Design Issues and Research Challenges (2014, background): “5.1.”
• Poisoning Complete-Linkage Hierarchical Clustering (2014, methodology): “We focus here on a real-world application example involving the behavioral malware clustering algorithm proposed in [3].”