%0 Conference Paper %1 7277421 %A Ravaioli, R. %A Urvoy-Keller, G. %A Barakat, C. %B Teletraffic Congress (ITC 27), 2015 27th International %D 2015 %K Bandwidth ChkDiff_tool_design Delays IP_networks Internet Internet_access Payloads Probes Statistical_analysis application-agnostic_method itc itc27 network_neutrality target_router telecommunication_traffic traffic_differentiation_detection traffic_flow_delay %P 1-9 %R 10.1109/ITC.2015.8 %T Towards a General Solution for Detecting Traffic Differentiation at the Internet Access %U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc27/7277421.pdf?inline=true %X In recent years network neutrality has been widely debated from both technical and economic points of view. Various cases of traffic differentiation at the Internet access have been reported throughout the last decade, in particular aimed at bandwidth consuming traffic flows. In this paper we present a novel application-agnostic method for the detection of traffic differentiation, through which we are able to correctly identify where a shaper is located with respect to the user and evaluate whether it affected delays, packet losses or both. The tool we propose, ChkDiff, replays the user's own traffic in order to target routers at the first few hops from the user. By comparing the resulting flow delays and losses to the same router against one other, and analyzing the behaviour on the immediate router topology spawning from the user end-point, ChkDiff manages to detect instances of traffic shaping. We provide a detailed description of the design of the tool for the case of upstream traffic, the technical issues it overcomes and a validation in controlled scenarios.

@inproceedings{7277421, abstract = {In recent years network neutrality has been widely debated from both technical and economic points of view. Various cases of traffic differentiation at the Internet access have been reported throughout the last decade, in particular aimed at bandwidth consuming traffic flows. In this paper we present a novel application-agnostic method for the detection of traffic differentiation, through which we are able to correctly identify where a shaper is located with respect to the user and evaluate whether it affected delays, packet losses or both. The tool we propose, ChkDiff, replays the user's own traffic in order to target routers at the first few hops from the user. By comparing the resulting flow delays and losses to the same router against one other, and analyzing the behaviour on the immediate router topology spawning from the user end-point, ChkDiff manages to detect instances of traffic shaping. We provide a detailed description of the design of the tool for the case of upstream traffic, the technical issues it overcomes and a validation in controlled scenarios.}, added-at = {2016-07-11T18:20:14.000+0200}, author = {Ravaioli, R. and Urvoy-Keller, G. and Barakat, C.}, biburl = {https://www.bibsonomy.org/bibtex/292c348b525b80de5af383e84094f3544/itc}, booktitle = {Teletraffic Congress (ITC 27), 2015 27th International}, doi = {10.1109/ITC.2015.8}, interhash = {62cdc4799a56af555fe0155114d229eb}, intrahash = {92c348b525b80de5af383e84094f3544}, keywords = {Bandwidth ChkDiff_tool_design Delays IP_networks Internet Internet_access Payloads Probes Statistical_analysis application-agnostic_method itc itc27 network_neutrality target_router telecommunication_traffic traffic_differentiation_detection traffic_flow_delay}, month = {Sept}, pages = {1-9}, timestamp = {2020-04-30T18:18:14.000+0200}, title = {Towards a General Solution for Detecting Traffic Differentiation at the Internet Access}, url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc27/7277421.pdf?inline=true}, year = 2015 }