Comprehensive Analysis and Detection of Flash-Based Malware
By Christian Wressnegger, Fabian Yamaguchi, Daniel Arp, Konrad Rieck. 2016
19 citations recorded by the source corpus.
Subfields: 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 Information Systems
- Battista Biggio
- Giorgio Giacinto
- Davide Maiorca
- Fabio Roli
- Maria Elena Chiappe
- Giorgio Fumera
- Joseph Gardiner
- Shishir Nagaraja
In Signal Processing
- Battista Biggio
- Giorgio Giacinto
- Davide Maiorca
- Fabio Roli
- Maria Elena Chiappe
- Giorgio Fumera
- Nicholas Carlini
- Ambra Demontis
Citations in the corpus
- Adversarial Detection of Flash Malware: Limitations and Open Issues (2017, methodology): “With respect to SWF malware, static analysis showed promising results at detecting malicious samples in the wild by extracting information either from the structure of the file [27] or from the ActionScript bytecode [34].”