Skip to Main content Skip to Navigation

hal-01965714v1  Reports
Alejandro BascuñanaMiguel-Ángel MonjasDaniele ApilettiFernando AriasMiguel-Ángel López Peña et al.  Delivrable Progress on Use Cases
Ericsson Spain; Politecnico di Torino; EMC; SATEC; LAAS-CNRS; Universidad politécnica de Madrid. 2016
hal-02334251v1  Conference papers
Juliette DromardPhilippe Owezarski. Study and Evaluation of Unsupervised Algorithms used in Network Anomaly Detection
Future Technologies Conference (FTC 2019), Oct 2019, San Francisco, United States
hal-01229003v1  Book sections
Juliette DromardGilles RoudierePhilippe Owezarski. Unsupervised Network Anomaly Detection in Real-Time on Big Data
New Trends in Databases and Information Systems, 539, Springer, pp.197-206, 2015, Communications in Computer and Information Science, 978-3-319-23200-3. ⟨10.1007/978-3-319-23201-0_22⟩
hal-01406273v1  Journal articles
Juliette DromardGilles RoudierePhilippe Owezarski. Online and Scalable Unsupervised Network Anomaly Detection Method
IEEE Transactions on Network and Service Management, IEEE, 2017, 14 (1), pp.34-47. ⟨10.1109/TNSM.2016.2627340⟩
hal-01576752v1  Conference papers
Juliette DromardPhilippe Owezarski. Integrating short history for improving clustering based network traffic anomaly detection
International Workshop on Autonomic Systems for Big Data Analytics (ASBDA 2017), Sep 2017, Tucson, United States. 8p