Showing 1–1 of 1 results for author: Beutel, R
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BioEnvSense: A Human-Centred Security Framework for Preventing Behaviour-Driven Cyber Incidents
Authors:
Duy Anh Ta,
Farnaz Farid,
Farhad Ahamed,
Ala Al-Areqi,
Robert Beutel,
Tamara Watson,
Alana Maurushat
Abstract:
Modern organizations increasingly face cybersecurity incidents driven by human behaviour rather than technical failures. To address this, we propose a conceptual security framework that integrates a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model to analyze biometric and environmental data for context-aware security decisions. The CNN extracts spatial patterns from sens…
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Modern organizations increasingly face cybersecurity incidents driven by human behaviour rather than technical failures. To address this, we propose a conceptual security framework that integrates a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model to analyze biometric and environmental data for context-aware security decisions. The CNN extracts spatial patterns from sensor data, while the LSTM captures temporal dynamics associated with human error susceptibility. The model achieves 84% accuracy, demonstrating its ability to reliably detect conditions that lead to elevated human-centred cyber risk. By enabling continuous monitoring and adaptive safeguards, the framework supports proactive interventions that reduce the likelihood of human-driven cyber incidents
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Submitted 22 February, 2026;
originally announced February 2026.