activity
20152020
most citedMaat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection

7 citations · 14 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CR20207 cited

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

Aleieldin Salem, Sebastian Banescu, Alexander Pretschner

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. Unfo…

cs.CR2019

MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract

William Zhang, Sebastian Banescu, Leonardo Passos +2

Smart contracts are executable programs that enable the building of a programmable trust mechanism between multiple entities without the need of a trusted third-party. Researchers…

cs.CR20191 cited

VirtSC: Combining Virtualization Obfuscation with Self-Checksumming

Mohsen Ahmadvand, Daniel Below, Sebastian Banescu +1

Self-checksumming (SC) is a tamper-proofing technique that ensures certain program segments (code) in memory hash to known values at runtime. SC has few restrictions on application…

cs.CR2019

SIP Shaker: Software Integrity Protection Composition

Mohsen Ahmadvand, Dennis Fischer, Sebastian Banescu

Man-At-The-End (MATE) attackers are almighty adversaries against whom there exists no silver-bullet countermeasure. To raise the bar, a wide range of protection measures were propo…

cs.CR20192 cited

Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods

Aleieldin Salem, Sebastian Banescu, Alexander Pretschner

In evaluating detection methods, the malware research community relies on scan results obtained from online platforms such as VirusTotal. Nevertheless, given the lack of standards…

cs.CR2018

Identifying Relevant Information Cues for Vulnerability Assessment Using CVSS

Luca Allodi, Sebastian Banescu, Henning Femmer +1

The assessment of new vulnerabilities is an activity that accounts for information from several data sources and produces a `severity' score for the vulnerability. The Common Vulne…