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Improving the efficacy of network security based on dimensionality reduction techniquesThis paper focuses on proposing a network intrusion detection model applying fundamental machine learning techniques to enhance early detection of network intrusions (rapid detection of attack... Author: Phuong Hoang Thi Keyword: Network attack DDoS machine learning deep learning dimensionality reduction
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A study proposing improvements to overlay network architecture to mitigate the impact of distributed denial-of-service attacks on website systemsDenial-of-service (DoS) attacks on website systems have become increasingly sophisticated. These attacks are evolving at a pace and complexity that outstrips the capabilities of current defensive... Author: Vu Phuong Thi Keyword: Cyber attacks denial of service attacks distributed denial of service attacks website overlay network
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Research on techniques to en-hance DDoS attack prevention using cumulative Sum and back-propagation algorithmsThis paper focuses on enhancing DDoS attack prevention ca-pabilities through the combination of the Cumulative Sum (CUSUM) algorithm and the Backpropagation method, aiming to detect attack indicators... Author: Phuong Hoang Thi Keyword: Network attack CUSUM algorithm Backpropagation algo-rithm Anti-spoofing DDoS attack
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Applying transformer architecture to enhance attack detection performance in intrusion detection systemsIntrusion Detection Systems (IDS) are crucial in safeguarding network security against increasingly sophisticated threats. In this study, we propose a Transformer-based intrusion detection model to... Author: Vu Phuong Thi, Ha Hoang Thi Hong, Truong Dinh Gia, Yen Tran Thi Keyword: Intrusion Detection Transformer UNSW-NB15 Cybersecurity Self-attention
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