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Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection., , , and . IEEE/ACM Trans. Netw., 30 (3): 1217-1229 (2022)Bypassing Current Limitations for Implementing a Credential Delegation for the Industry 4.0., , , , and . SECRYPT, page 485-490. SCITEPRESS, (2022)On the Design of a Low-Rate DoS Attack Against Iterative Servers., , and . SECRYPT, page 149-156. INSTICC Press, (2006)Traffic Monitoring and Diagnosis with Multivariate Statistical Network Monitoring: A Case Study., , and . IEEE Symposium on Security and Privacy Workshops, page 241-246. IEEE Computer Society, (2017)Understanding the Network and User-Targeting Properties of Web Advertising Networks., , , and . ICDCS, page 613-622. IEEE Computer Society, (2011)Low Rate DoS Attack to Monoprocess Servers., , and . SPC, volume 3934 of Lecture Notes in Computer Science, page 43-57. Springer, (2006)Tackling the Big Data 4 vs for anomaly detection., , , and . INFOCOM Workshops, page 500-505. IEEE, (2014)Hierarchical PCA-based multivariate statistical network monitoring for anomaly detection., , , and . WIFS, page 1-6. IEEE, (2016)Present and Future of Network Security Monitoring., , and . IEEE Access, (2021)A Novel Collaborative Approach for Sinkhole Detection in MANETs., , , and . ADHOC-NOW Workshops, volume 8629 of Lecture Notes in Computer Science, page 123-136. Springer, (2014)