Scipediacontent: Scipediacontent moved page Draft Content 188206557 to Hagos et al 2019a

2021-01-25T10:32:39Z

Scipediacontent moved page Draft Content 188206557 to Hagos et al 2019a

Scipediacontent: Created page with " == Abstract == Identifying the underlying TCP variant from passive measurements is important for several reasons, e.g., exploring security ramifications, traffic engineering..."

2021-01-25T10:32:36Z

Created page with " == Abstract == Identifying the underlying TCP variant from passive measurements is important for several reasons, e.g., exploring security ramifications, traffic engineering..."

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== Abstract ==

Identifying the underlying TCP variant from passive measurements is important for several reasons, e.g., exploring security ramifications, traffic engineering in the Internet, etc. In this paper, we are interested in investigating the delay characteristics of widely used TCP algorithms that exploit queueing delay as a congestion signal. Hence, we present an effective TCP variant identification methodology from traffic measured passively by analyzing $\beta$ , the multiplicative back-off factor to decrease the cwnd on a loss event, and the queueing delay values. We address how $\beta$ varies as a function of queueing delay and how the TCP variants of delay-based congestion control algorithms can be predicted both from passively measured traffic and real measurements over the Internet. We further employ a novel non-stationary time series approach from a stochastic nonparametric perspective using a two-sided Kolmogorov-Smirnov test to classify delay-based TCP algorithms based on the $\alpha$ , the rate at which a TCP sender's side cwnd grows per window of acknowledged packets, parameter. Through extensive experiments on emulated and realistic scenarios, we demonstrate that the data-driven classification techniques based on probabilistic models and Bayesian inference for optimal identification of the underlying delay-based TCP congestion algorithms give promising results. We show that our method can also be applied equally well to loss-based TCP variants.

== Original document ==

The different versions of the original document can be found in:

* [https://hdl.handle.net/10642/8116 https://hdl.handle.net/10642/8116]

* [http://xplorestaging.ieee.org/ielx7/8930311/8935004/08935063.pdf?arnumber=8935063 http://xplorestaging.ieee.org/ielx7/8930311/8935004/08935063.pdf?arnumber=8935063],
: [http://dx.doi.org/10.1109/nca.2019.8935063 http://dx.doi.org/10.1109/nca.2019.8935063]

* [https://dblp.uni-trier.de/db/conf/nca/nca2019.html#HagosEY19 https://dblp.uni-trier.de/db/conf/nca/nca2019.html#HagosEY19],
: [https://academic.microsoft.com/#/detail/2995590890 https://academic.microsoft.com/#/detail/2995590890]

* [https://hdl.handle.net/10642/8116 https://hdl.handle.net/10642/8116],
: [https://dx.doi.org/10.1109/NCA.2019.8935063 https://dx.doi.org/10.1109/NCA.2019.8935063]

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Hagos et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 188206557 to Hagos et al 2019a

Scipediacontent: Created page with " == Abstract == Identifying the underlying TCP variant from passive measurements is important for several reasons, e.g., exploring security ramifications, traffic engineering..."