Network flow data is usually gathered for network monitoring and administration, as well as for security analysis. By using commercial or open source tools variations from traditional traffic criterions and communications with acknowledged bad hosts can be identified. While it is recommended to use existing tools to address and solve issues, the maintenance of these tools brings a new layer of complexity because they do not support all network’s dimensions that a business needs. Resources are there-fore spent on analyzing separate network elements rather than on understanding how the network as a whole needs to be optimized and also secured against intruders. So-cial Network Analysis uses graph theory for exploring social structures and focuses on the relations and the patterns they form and although it does not provide a set of premises from which hypothesis or predictions can be derived as network analysis tools do, it provides guidance on where to look further for the answers. This thesis provides the first-of-its-kind network structure and behavior analysis based on graph theory. A top-down perspective is adopted, which aims to characterize the whole pop-ulation by the relations patterns that constrain its actors.
Masterprüfung mit Defensio, Tamas Alexandra Madalina
16.10.2018 11:00 - 12:30
Organiser:
SPL 5
Location:
Besprechungsraum 4.34
Währinger Straße 29
1090 Wien
1090 Wien