Martin Homola
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The paper proposes MAECO-Lite, a modular ontology designed to improve the semantic representation of dynamic malware behavior by clearly separating enduring artifacts from runtime execution events, addressing limitations found in existing standards like MAEC and STIX.
The paper proposes MAECO-Lite, a modular ontology designed to improve the semantic representation of dynamic malware behavior by clearly separating enduring artifacts from runtime events, addressing limitations found in existing standards like MAEC and STIX.
Papers
MAECO-Lite: Modular Ontology for Dynamic Malware Analysis
Zekeri Adams, Peter Švec, Ján Kľuka, Roderik Ploszek +3 more
The paper proposes MAECO-Lite, a modular ontology designed to improve the semantic representation of dynamic malware behavior by clearly separating enduring artifacts from runtime execution events, ad…