• A diagrammatic notation for modeling access control in tree-based data structures 

      Øslebø, Arne (Doctoral Theses at NTNU, 1503-8181; 2008:142, Doctoral thesis, 2008)
      This thesis describe two graphical modeling languages that can be used for specifying the access control setup in most systems that store information in a tree based structure. The Tree-based Access control Modeling ...
    • Access Management in Backbones of SDN 

      Johansen, Janita Marielle (Master thesis, 2019)
      Selv om aksesskontroll innenfor Software Defined Networking (SDN) allerede har blitt forsket på, har ingen av de tidligere undersøkelsens vurdert nettverk med flere domener og samarbeidende aksesskontroll mellom dem. Denne ...
    • Distributed NetFlow Processing Using the Map-Reduce Model 

      Morken, Jan Tore (Master thesis, 2010)
      We study the viability of using the map-reduce model and frameworks for NetFlow data processing. The map-reduce model is an approach to distributed processing that simplifies implementation work, and it can also help in ...
    • Management of Large Scale NetFlow Data by Distributed Systems 

      Tian, Zehua (Master thesis, 2016)
      Nowadays, as network has almost permeated all aspects of people s life, network quality and security administration becomes very necessary. A very important part is monitoring and analyzing network traffic. NetFlow is an ...
    • Refining Network Intrusion Alerts with Multi-Sensor Fusion 

      Flakk, Emil Henry (Master thesis, 2018)
      Modern CERTs are heavily reliant on Network Security Monitoring (NSM) in order to defend their networks from intrusions. As attacks increase in frequency and complexity, the human resources to deal with them become ...
    • Visualization of large scale Netflow data 

      Eeg-Larsen, Nicolai H (Master thesis, 2016)
      Networks are forwarding more and more data every year, thus its harder to reveal malicious traffic among all of it. Current systems might not be capable of keeping up with the rapid pace of the growth, and might not be ...