DUET: integration of dynamic and static analyses for malware clustering with cluster ensembles

By Xin Hu, Kang G. Shin. 2013

36 citations recorded by the source corpus.

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

1. Battista Biggio
2. Fabio Roli
3. Giorgio Giacinto
4. Igino Corona
5. Konrad Rieck
6. Giorgio Fumera
7. Davide Ariu
8. Christian Wressnegger

In Information Systems

1. Battista Biggio
2. Fabio Roli
3. Giorgio Giacinto
4. Igino Corona
5. Giorgio Fumera
6. Davide Ariu
7. Konrad Rieck
8. Christian Wressnegger

In Signal Processing

1. Battista Biggio
2. Fabio Roli
3. Giorgio Giacinto
4. Igino Corona
5. Giorgio Fumera
6. Davide Maiorca
7. Nicholas Carlini
8. Konrad Rieck

Citations in the corpus

• Poisoning behavioral malware clustering (2014, methodology): “For example, Jang et al. [20] apply feature hashing for clustering large sets of malware binaries, Perdisci & U [26] propose an automatic procedure for calibrating clustering algorithms, and Hu & Shi [16] combine behavioral clustering with static code analysis.”