Tensor Networks for Explainable Anomaly Detection in Cybersecurity

Tensor Networks, particularly Matrix Product States (MPS), provide a powerful framework for developing explainable machine learning models that can effectively detect anomalies in cybersecurity data while offering unprecedented transparency into the decision-making process.