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Found 4 papers, 1 papers with code
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection
We found that such ML-based strategies (a) can accurately and consistently label apps based on their VirusTotal scan reports, and (b) contribute to training ML-based detection methods that are more effective at classifying out-of-sample apps than their threshold-based counterparts.
MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract
We have implemented our technique in a tool called MPro, a scalable and automated smart contract analyzer based on the existing symbolic analysis tool Mythril-Classic and the static analysis tool Slither.
Cryptography and Security
Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods
In evaluating detection methods, the malware research community relies on scan results obtained from online platforms such as VirusTotal.
Cryptography and Security
FEEBO: An Empirical Evaluation Framework for Malware Behavior Obfuscation
We propose and implement such a framework that obfuscates the observable behavior of malware binaries.
Cryptography and Security
