Torres García, Luis Miguel

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https://academica-e.unavarra.es/handle/2454/50089

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Torres García

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Luis Miguel

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Automática y Computación

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1173849

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8531

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2013 - 20152
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Author: Izal Azcárate, Mikel × Subject: Web traffic ×

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Now showing 1 - 2 of 2
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    PublicationOpen Access
    A popularity-aware method for discovering server IP addresses related to websites
    (IEEE, 2013) Torres García, Luis Miguel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Morató Osés, Daniel; Automática y Computación; Automatika eta Konputazioa
    The complexity of web traffic has grown in the past years as websites evolve and new services are provided over the HTTP protocol. When accessing a website, multiple connections to different servers are opened and it is usually difficult to distinguish which servers are related to which sites. However, this information is useful from the perspective of security and accounting and can also help to label web traffic and use it as ground truth for traffic classification systems. In this paper we present a method to discover server IP addresses related to specific websites in a traffic trace. Our method uses NetFlow-type records which makes it scalable and impervious to encryption of packet payloads. It is, moreover, popularity-aware in the sense that it takes into consideration the differences in the number of accesses to each site in order to provide a better identification of servers. The method can be used to gather data from a group of interesting websites or, by applying it to a representative set of websites, it can label a sizeable number of connections in a packet trace.
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    PublicationOpen Access
    On the nature of unused TCP connections in web traffic
    (2015) Torres García, Luis Miguel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Morató Osés, Daniel; Automática y Computación; Automatika eta Konputazioa
    The popularity of the web and the requirements introduced by current web content have pushed for the development of new techniques that meet these challenges and improve the experience of the users. In particular, during the last years, web browsers have taken aggressive measures in order to reduce webpage download times. These measures have had a noteworthy effect on the profile of web traffic. One of the most striking consequences is that nowadays, more than 20% of the TCP connections opened by a browser are left unused. In this paper we describe these connections, explain why they happen and use them as a simple way of identifying the traffic of different web browsers.