Blar i NTNU Open på forfatter "Engelstad, Paal E."

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    • 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 ...

    • A graph neural approach for group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)
      Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...

    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Peer reviewed; Journal article, 2022)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...

    • Predicting missing pairwise preferences from similarity features in group decision making 

      Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Peer reviewed; Journal article, 2022)
      In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ...

    • A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA 

      Rauniyar, Ashish; Yazidi, Anis; Engelstad, Paal E.; Østerbø, Olav Norvald (Chapter, 2020)
      Optimal power allocation problem in wireless networks is known to be usually a complex optimization problem. In this paper, we present a simple and energy-efficient distributed power control in downlink Non-Orthogonal ...

    • SDN Spotlight: A real-time OpenFlow troubleshooting framework 

      Aryan, Ramtin; Yazidi, Anis; Brattensborg, Frode; Kure, Øivind; Engelstad, Paal E. (Journal article; Peer reviewed, 2022)
      Troubleshooting in SDN-based networks is still a cumbersome task that can overwhelm human attention. Various anomalies, such as installation failure, disordered rules, and loops, remain unnoticed even when the most recent ...