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Understanding the Resilience of Active Internet Measurements to Deception

The primary objectives of this project are: 1) Advance the state-of-the-art in network deception detection; 2) Use this knowledge to improve the resilience of network measurement techniques and mapping systems; and 3) Improve the quality of the network deception itself.

Deception is a common security technique to influence the behavior of both automated and human adversaries. However, characterizing the impact of deception on active Internet measurements -- which attempt to map and make inferences about the network -- has received relatively little attention. Our prior work has shown that existing measurement tools are brittle and easily deceived. To understand the resilience of such tools, we will implement topology and host deception within known portions of the Internet and measure the ability to influence current production network mapping systems. By better understanding the potential power of network deception, we will be able to meet the objectives of this project.
Computer Science
Laboratory for Telecommunications Sciences
Other-Fed
2016