%0 Conference Proceedings
%T Inline Data Integrity Signals for Passive Measurement
%+ Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology  [Zürich] (ETH Zürich)
%+ University of Auckland [Auckland]
%A Trammell, Brian
%A Gugelmann, David
%A Brownlee, Nevil
%Z Part 1: Tools and Lessons Learned from Passive Measurement
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 6th International Workshop on Traffic Monitoring and Analysis (TMA)
%C London, United Kingdom
%Y Alberto Dainotti
%Y Anirban Mahanti
%Y Steve Uhlig
%I Springer
%3 Traffic Monitoring and Analysis
%V LNCS-8406
%P 15-25
%8 2014-04-14
%D 2014
%R 10.1007/978-3-642-54999-1_2
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X In passive network measurement, the quality of an observed traffic stream is obviously crucial to the quality of the results. Some sources of error (e.g., packet loss at a capture device) are well understood, others less so. In this work, we describe the inline data integrity measurement provided by the QoF TCP-aware flow meter. By instrumenting the data structures QoF uses for detecting lost and retransmitted TCP segments, we can provide an in-band, per-flow estimate of observation loss: segments which were received by the recipient but not observed by the flow meter. We evaluate this mechanism against controlled, induced error, and apply it to two data sets used in previous work.
%G English
%Z TC 6
%Z WG 6.6
%2 https://hal.science/hal-01396468/document
%2 https://hal.science/hal-01396468/file/978-3-642-54999-1_2_Chapter.pdf
%L hal-01396468
%U https://hal.science/hal-01396468
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-TMA
%~ IFIP-WG6-6
%~ IFIP-LNCS-8406