2024
DOI: 10.1371/journal.pone.0305618
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A novel approach for APT attack detection based on feature intelligent extraction and representation learning

Cho Do Xuan,
Nguyen Hoa Cuong

Abstract: Advanced Persistent Threat (APT) attacks are causing a lot of damage to critical organizations and institutions. Therefore, early detection and warning of APT attack campaigns are very necessary today. In this paper, we propose a new approach for APT attack detection based on the combination of Feature Intelligent Extraction (FIE) and Representation Learning (RL) techniques. In particular, the proposed FIE technique is a combination of the Bidirectional Long Short-Term Memory (BiLSTM) deep learning network and… Show more

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