5 days ago · The integration of Machine Learning (ML) and Deep Learning (DL) techniques has ushered in a new era of Intrusion Detection Systems (IDS).

2 days ago · To do so, this study thoroughly evaluates the effectiveness of IDS techniques under various ratios of class imbalance (e.g., 1:10, 1:100, 1:500, and 1:1000).

4 days ago · Alternative optimization techniques, such as Bayesian optimization and decision trees, facilitate design parameter tuning and process monitoring in a variety of ...

5 days ago · Future research should focus on developing lightweight GNN models capable of handling large-scale blockchain data, while incorporating robust privacy-preserving ...

3 days ago · A significant development in XAI is the emergence of intrinsic interpretability approaches, which involve designing models that are interpretable by nature.

4 days ago · In recent years, large-scale artificial intelligence (AI) models have become a focal point in technology, attracting widespread attention and acclaim.

4 days ago · We present a large-scale empirical comparison between ten supervised learning methods: SVMs, neural nets, logistic regression, naive bayes, memory-based ...

6 days ago · FELIDS is a federated learning-based IDS that preserves data privacy and security by training models locally while increasing the detection rate by aggregating ...

6 days ago · ... learn item and user representations. It utilizes an inductive graph neural network (GNN) to learn both factual and counterfactual item representations from ...

6 days ago · Neural network models and machine learning can analyse the dense information and can potentially aid in decision making by patient triage, preventing treatment ...