Attention-enhanced BiLSTM-ANN framework with CNN-based feature selection for advanced threat detection

Key Points

• Advanced threat detection is achieved using a novel attention-enhanced BiLSTM-ANN framework, improving processing accuracy.
• The framework incorporates CNN-based feature selection, leading to enhanced detection capabilities across diverse data sets.
• Evaluation metrics indicate substantial performance improvements, with precision reported at 92% and recall at 89% in simulated environments.
• The study highlights the need for further validation in real-world scenarios to generalize findings and applications.