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The Named-Data Networking Project has moved from a multi-university NSF-funded Future Internet Architecture project to an open source codebase with world wide contributors and a growing body of applications. Researchers have applied NDN to applications like lighting control, vehicular communications, and augmented reality but more work is needed to make the data-centric and security features of NDN accessible. Users are currently required to become experts on the internals of the codebase, a difficult task further complicated by the lack of well-documented examples and the project adding new features. While implementing a secure, distributed network measurement framework for NDN, we encountered two major difficulties: the lack of a library of application-usable communications models (built on top of the NDN layer) and the difficulty of integrating trust rules with the NDN codebase.
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