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layout	title	home	subtitle
default	Research work on malware analyis	true	<br/> Authors <ul> <li> Attila Mester <a href="https://www.linkedin.com/in/attilamester/"><img src="https://static.licdn.com/sc/h/akt4ae504epesldzj74dzred8" /></a> <a href="https://www.researchgate.net/profile/Attila-Mester-2"><img src="https://c5.rgstatic.net/m/41542880220916/images/favicon/favicon-32x32.png" /></a> </li> <li> dr. Zalán Bodó <a href="http://www.cs.ubbcluj.ro/~zbodo"><img src="https://www.ubbcluj.ro/template/favicon-32x32.png" /></a> <a href="https://www.linkedin.com/in/zal%C3%A1n-bod%C3%B3-66b915b9/"><img src="https://static.licdn.com/sc/h/akt4ae504epesldzj74dzred8" /></a> <a href="https://www.researchgate.net/profile/Zalan-Bodo"><img src="https://c5.rgstatic.net/m/41542880220916/images/favicon/favicon-32x32.png" /></a> </li> </ul>

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Validating static call graph-based malware signatures using community detection methods

ESANN, 2021

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Malware classification based on graph convolutional neural networks and static call graph features

IEA/AIE, 2022

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Malware analysis and static call graph generation with Radare2

Studia Universitatis Informatica, 2023

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<a href="https://www.cs.ubbcluj.ro/~studia-i/journal/journal/article/view/85/85" target="blank"><i class="bi bi-paperclip"></i>Paper</a>
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    Kaggle dataset
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Towards a malware family classification model using static call graph instruction visualization

NSS, 2024

Latest work

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malflow Kaggle dataset

Other

Network Analysis Based on Important Node Selection and Community Detection

MDPI Mathematics, 2021

Paper

IT Days 2022

Speaker