A lightweight ensemble machine learning framework integrating Light Gradient Boosting, Histogram-based Gradient Boosting, and Categorical Boosting to detect both sensor-based and broader cyber-attack types in UAV environments is proposed, introducing an interpretable, high-performance detection framework capable of ope...
C. Chidimma, P. Asuquo, Ihemereze Chijioke Nnanna et al.· E3S Web of Conferences· 0 citations
Financial fraud detection in transaction networks is challenging due to evolving attack strategies, complex relational structures, and extreme class imbalance. We propose a hybrid deep learning model that fuses Graph Convolutional Neural Networks (GCNNs) with bidirectional LSTMs enhanced by temporal attention, enabling...
Ofonime Dominic Okon, Imo Enang, B. Stephen et al.· E3S Web of Conferences· 0 citations
A System Risk Index (SRI) is constructed that aggregates vulnerabilities to the vendor-year level, weighted by severity and exploitability, and indicates that digital transformation redistributes risk into a connected, vendor-level property of the infrastructure beneath product–service delivery.
Imo Enang, Iniobong Enang, I. Akpan· Syst.· 0 citations
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