• Addressing practical challenges for anomaly detection in backbone networks 

      Paredes Oliva, Ignasi (Universitat Politècnica de Catalunya, 2013-07-29)
      Tesi
      Accés obert
      Network monitoring has always been a topic of foremost importance for both network operators and researchers for multiple reasons ranging from anomaly detection to tra c classi cation or capacity planning. Nowadays, as ...
    • Automating root-cause analysis of network anomalies using frequent itemset mining 

      Paredes Oliva, Ignasi; Dimitropoulos, Xenofontas; Molina, Maurizio; Barlet Ros, Pere; Brauckhoff, Daniela (ACM Press. Association for Computing Machinery, 2010)
      Comunicació de congrés
      Accés obert
      Finding the root-cause of a network security anomaly is essential for network operators. In our recent work [1, 5], we introduced a generic technique that uses frequent itemset mining to automatically extract and summarize ...
    • FaRNet: fast recognition of high multi-dimensional network traffic patterns 

      Paredes Oliva, Ignasi; Barlet Ros, Pere; Dimitropoulos, Xenofontas (ACM, 2013)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Extracting knowledge from big network traffic data is a matter of foremost importance for multiple purposes ranging from trend analysis or network troubleshooting to capacity planning or traffic classification. An extremely ...
    • Scan detection under sampling: a new perspective 

      Paredes Oliva, Ignasi; Barlet Ros, Pere; Solé Pareta, Josep (2013-04-01)
      Article
      Accés restringit per política de l'editorial
      In tests using the same fraction of packets for comparison, packet sampling outperformed flow sampling for scan detection, while both selective sampling and a proposed extension that uses significantly less resources were ...