Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection

• Published in: arXiv.org
• Main Authors: Salem, Aleieldin, Banescu, Sebastian, Pretschner, Alexander
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 01.07.2020
• Subjects: Applications programs; Labeling; Machine learning; Malware; Scanners; Standardization; Thresholds

The malware analysis and detection research community relies on the online platform VirusTotal to label Android apps based on the scan results of around 60 antiviral scanners. Unfortunately, there are no standards on how to best interpret the scan results acquired from VirusTotal, which leads to the...