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07/27/2023
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
Many studies have proposed machine-learning (ML) models for malware dete...
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01/18/2023
One Size Does not Fit All: Quantifying the Risk of Malicious App Encounters for Different Android User Profiles
Previous work has investigated the particularities of security practices...
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10/28/2022
A Deep Dive into VirusTotal: Characterizing and Clustering a Massive File Feed
Online scanners analyze user-submitted files with a large number of secu...
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12/21/2021
Longitudinal Study of the Prevalence of Malware Evasive Techniques
By their very nature, malware samples employ a variety of techniques to ...
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09/08/2021
Unsupervised Detection and Clustering of Malicious TLS Flows
Malware abuses TLS to encrypt its malicious traffic, preventing examinat...
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10/20/2020
