• Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey 

      Abbasi, Mahmoud; Shahraki, Amin; Taherkordi, Amirhosein (Peer reviewed; Journal article, 2021)
      Modern communication systems and networks, e.g., Internet of Things (IoT) and cellular networks, generate a massive and heterogeneous amount of traffic data. In such networks, the traditional network management techniques ...
    • A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms 

      Shahraki, Amin; Taherkordi, Amir; Haugen, Øystein; Eliassen, Frank (Peer reviewed; Journal article, 2021)
      Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over networks that support device-to-device (D2D) ...
    • TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks 

      Shahraki, Amin; Taherkordi, Amir; Haugen, Øystein (Peer reviewed; Journal article, 2021)
      Internet of Things (IoT) refers to a system of interconnected heterogeneous smart devices communicatingwithout human intervention. A significant portion of existing IoT networks is under the umbrella of ad-hoc andquasi ...