@article {18502,
	title = {NANO: Network Access Neutrality Observatory},
	volume = {GT-CS-08-03},
	year = {2008},
	month = {2008///},
	institution = {Georgia Institute of Technology},
	abstract = {This paper tackles a technical problem that is of growing interest in light of the ongoing network neutrality debate: We aim to develop a system that can reliably determine whether particular ISP is discriminating against a service using only passive measurements from end-hosts. This problem presents significant challenges because many types of discrimination can often resemble commonplace performance degradations (e.g., resulting from failure or misconfiguration). To distinguish discrimination from degradation, we propose a statistical method to estimate causal effect and develop a system, NANO, based on this method. NANO aggregates passive measurements from end-hosts, stratifies the measurements to account for possible confounding factors, and distinguishes when an ISP is discriminating against a particular service or group of clients. Preliminary simulation results demonstrate the promise of NANO for both detecting various types of discrimination and absolving an ISP when it is not discriminating.},
	url = {http://hdl.handle.net/1853/25461},
	author = {Tariq,M.B. and Motiwala,M. and Feamster, Nick}
}
