FlashDetect: ActionScript 3 Malware Detection
By Timon Van Overveldt, Christopher Krügel, Giovanni Vigna. 2012
30 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
- Battista Biggio
- Davide Maiorca
- Giorgio Giacinto
- Pavel Laskov
- Fabio Roli
- Nedim Srndic
- Konrad Rieck
- Maria Elena Chiappe
In Information Systems
- Battista Biggio
- Davide Maiorca
- Giorgio Giacinto
- Pavel Laskov
- Nedim Srndic
- Fabio Roli
- Konrad Rieck
- Maria Elena Chiappe
In Signal Processing
- Battista Biggio
- Davide Maiorca
- Giorgio Giacinto
- Fabio Roli
- Pavel Laskov
- Nedim Srndic
- Maria Elena Chiappe
- Nicholas Carlini
Citations in the corpus
- Adversarial Detection of Flash Malware: Limitations and Open Issues (2017, methodology): “FlashDetect [31] is one of the first approaches to the detection of ActionScript 3 -based malware.”
- Comprehensive Analysis and Detection of Flash-Based Malware (2016, methodology): “Often, webbased attacks are tailored towards specific browser environments and thus only trigger malicious activity upon checking for the correct target environment [27, 44].”
- Detection of Malicious PDF Files Based on Hierarchical Document Structure (2013, background): “The technical realization of these two fundamental tasks is presented below.”