Person:
Izal Azcárate, Mikel

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Izal Azcárate

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Mikel

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Ingeniería Eléctrica, Electrónica y de Comunicación

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ISC. Institute of Smart Cities

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0000-0002-2770-912X

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2083

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Now showing 1 - 2 of 2
  • PublicationOpen Access
    High-speed analysis of SMB2 file sharing traffic without TCP stream reconstruction
    (IEEE, 2019) Berrueta Irigoyen, Eduardo; Morató Osés, Daniel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación
    This paper presents a file sharing traffic analysis methodology for Server Message Block (SMB), a common protocol in the corporate environment. The design is focused on improving the traffic analysis rate that can be obtained per CPU core in the analysis machine. SMB is most commonly transported over Transmission Control Protocol (TCP) and therefore its analysis requires TCP stream reconstruction. We evaluate a traffic analysis design which does not require stream reconstruction. We compare the results obtained to a reference full reconstruction analysis, both in accuracy of the measurements and maximum rate per CPU core. We achieve an increment of 30% in the traffic processing rate, at the expense of a small loss in accuracy computing the probability distribution function for the protocol response times.
  • PublicationOpen Access
    Effective analysis of secure web response time
    (IEEE, 2019) López Romera, Carlos; Morató Osés, Daniel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación
    The measurement of response time in web based applications is a common task for the evaluation of service responsiveness and the detection of network or server problems. Traffic analysis is the most common strategy for obtaining response time measurements. However, when the traffic is encrypted, the analysis tools cannot provide these measurement results. In this paper we propose a methodology for measuring the response time in HTTPS traffic based on the flow of data in each direction. We have validated the tool with real traffic and with a worst case scenario created in a testbed. When pipelining is present in the encrypted HTTP 1.1 traffic, it results in a small error in the measurement (between 5% and 15% of error for the 99.9 percentile of the real response time). However, pipelining support has almost disappeared from modern web browsers; this makes the estimation provided by this methodology very accurate in real traffic measurements, even for low probability response times. More than 98.8% of the over 8.6 million request-response times we measured in our campus Internet link were obtained without any error.