IEEE Internet Computing
The spoofer project: inferring the extent of source address filtering on the internet
SRUTI'05 Proceedings of the Steps to Reducing Unwanted Traffic on the Internet on Steps to Reducing Unwanted Traffic on the Internet Workshop
Can ISPs be profitable without violating “network neutrality”?
Proceedings of the 3rd international workshop on Economics of networked systems
Proceedings of the 3rd international workshop on Economics of networked systems
Detecting traffic differentiation in backbone ISPs with NetPolice
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Detecting network neutrality violations with causal inference
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Proceedings of the 2009 workshop on Re-architecting the internet
Glasnost: enabling end users to detect traffic differentiation
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Netalyzr: illuminating the edge network
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
MOR: monitoring and measurements through the onion router
PAM'10 Proceedings of the 11th international conference on Passive and active measurement
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We present a novel measurement-based effort to quantify the prevalence of Internet "port blocking." Port blocking is a form of policy control that relies on the coupling between applications and their assigned transport port. Networks block traffic on specific ports, and the coincident applications, for technical, economic or regulatory reasons. Quantifying port blocking is technically interesting and highly relevant to current network neutrality debates. Our scheme induces a large number of widely distributed hosts into sending packets to an IP address and port of our choice. By intelligently selecting these "referrals," our infrastructure enables us to construct a per-BGP prefix map of the extent of discriminatory blocking, with emphasis on contentious ports, i.e. VPNs, email, file sharing, etc. Our results represent some of the first measurements of network neutrality and aversion.