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Entropy-Based Anomaly Detection in PACS by Lucas Vasconcelos is a document available to read on EtoBox.
This paper presents a real-time middleware for anomaly detection in physical access control systems (PACS) utilizing Discrete-Time Markov Chains (DTMCs) and entropy variation to identify behavioral irregularities. The system operates unsupervised, adapts to evolving user behavior, and was validated using over five years of access logs from a corporate facility, demonstrating effectiveness in detecting rare and unusual access patterns. By integrating probabilistic modeling with entropy dynamics, the framewor
- Author
- Lucas Vasconcelos
- Language
- EN