(H-DIR)2: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers
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Tosi, D.; Pazzi, R. (H-DIR)2: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers. Sensors 2025, 25, 4841. https://doi.org/10.3390/s25154841
Tosi D, Pazzi R. (H-DIR)2: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers. Sensors. 2025; 25(15):4841. https://doi.org/10.3390/s25154841
Chicago/Turabian StyleTosi, Davide, and Roberto Pazzi. 2025. "(H-DIR)2: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers" Sensors 25, no. 15: 4841. https://doi.org/10.3390/s25154841
APA StyleTosi, D., & Pazzi, R. (2025). (H-DIR)2: A Scalable Entropy-Based Framework for Anomaly Detection and Cybersecurity in Cloud IoT Data Centers. Sensors, 25(15), 4841. https://doi.org/10.3390/s25154841