• A General Formalism for Defining and Detecting OpenFlow Rule Anomalies 

      Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.; Kure, Øivind (Chapter, 2017)
      SDN network's policies are updated dynamically at a high pace. As a result, conflicts between policies are prone to occur. Due to the large number of switches and heterogeneous policies within a typical SDN network, detecting ...
    • Enhancing security attacks analysis using regularized machine learning techniques 

      Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E. (Journal article; Peer reviewed, 2017)
      With the increasing threats of security attacks, Machine learning (ML) has become a popular technique to detect those attacks. However, most of the ML approaches are black-box methods and their inner-workings are difficult ...
    • General TCP state inference model from passive measurements using machine learning techniques 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind (Journal article; Peer reviewed, 2018)
      Many applications in the Internet use the reliable end-to-end Transmission Control Protocol (TCP) as a transport protocol due to practical considerations. There are many different TCP variants widely in use, and each variant ...