Evaluating the limits of network topology inference via virtualized network emulation
Rye, Erik C.
MetadataShow full item record
The Internet measurement community is beset by a lack of ground truth, or knowledge of the real, underlying network in topology inference experiments. While better tools and methodologies can be developed, quantifying the effectiveness of these mapping utilities and explaining pathologies is difficult, if not impossible, without knowing the network topology being probed. In this thesis we present a tool that eliminates topological uncertainty in an emulated, virtualized environment. First, we automatically build topological ground truth according to various network generation models and create emulated Cisco router networks by leveraging and modifying existing emulation software. We then automate topological inference from one vantage point at a time for every vantage point in the network. Finally, we incorporate a mechanism to study common sources of network topology inference abnormalities by including the ability to induce link failures within the network. In addition, this thesis reexamines previous work in sampling Autonomous System-level Internet graphs to procure realistic models for emulation and simulation. We build upon this work by including additional data sets, and more recent Internet topologies to sample from, and observe divergent results from the authors of the original work. Lastly, we introduce a new technique for sampling Internet graphs that better retains particular graph metrics across multiple timeframes and data sets.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Fu Chen-Hua (Monterey, California: Naval Postgraduate School, 1993-03);Efficient performance and high throughput are the major goals of the network performance management. How can we achieve these goal? First, it is necessary to know the network traffic situations. This thesis research ...
Naval Postgraduate School Center for Homeland Defense and Security (CHDS) (Monterey, California. Naval Postgraduate SchoolCenter for Homeland Defense and Security, 2006-07);July 2006. The July 2006 issue of Homeland Security Affairs offers articles about risk perception, domestic right wing extremist groups, social network analysis, and the impact of foreign policy on homeland security. It ...
Warnke, Scott D. (Monterey, California: Naval Postgraduate School, 2016-06);Identifying communities in a dark network is a potentially difficult task. The nature of dark networks, and their characteristic of con-cealing connections within the network, makes community detection an enterprise based ...