Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph

This research leverages Memgraph, an open-source graph database, to analyze graph-based network data and apply Graph Neural Networks (GNNs) for a detailed classification of cyberattack tactics categorized by the MITRE ATT&CK framework. As part of graph characterization, the page rank, degree central...

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主要な著者:	Sadaf Charkhabi, Peyman Samimi, Sikha S. Bagui, Dustin Mink, Subhash C. Bagui
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-07-01
シリーズ:	Computers
主題:	graph machine learning graph neural networks graph database Memgraph node classification MITRE ATT&CK framework
オンライン･アクセス:	https://www.mdpi.com/2073-431X/13/7/171
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