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Joner Assolin — most-cited papers & profile · Cybersecurity
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Joner Assolin
3
papers ·
0
citations
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Most-cited papers
MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research
2025
Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance
2025
Top co-authors
Diego Kreutz
· 2
Hendrio Bragança
· 2
Vanderson Rocha
· 2
and Eduardo Feitosa
· 1
Angelo Gaspar Diniz Nogueira
· 1
Eduardo Feitosa
· 1
Gabriel Canto
· 1
Topics
Malware Detection
Threat Intelligence
Anomaly Detection
Network Security