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Analysis of institutional authors

Ramos Maravall, JavierAuthorRamos J.AuthorGarcia-Dorado J.AuthorAracil J.Author

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Article

Selective Capping of Packet Payloads at Multi-Gb/s Rates

Publicated to:IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. 34 (6): 1807-1818 - 2016-06-01 34(6), DOI: 10.1109/JSAC.2016.2559198

Authors: Uceda, Victor; Rodriguez, Miguel; Ramos, Javier; Garcia-Dorado, Jose Luis; Aracil, Javier

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Abstract

Network managers and analysts are well aware of the importance of network traces to understand traffic behavior, detect anomalies, and evaluate performance forensically, among others. However, the storage required for traffic traces has greatly expanded due to increasing network speeds. In this paper, we selectively cap the packet payload to reduce write speed and storage requirements on hard drives and further reduce the computational burden of packet analysis. The proposed techniques take advantage of most packet payloads being useless for analysis purposes, because they are either encrypted or in a proprietary application non-readable format. Conversely, non-ASCII packets from well-known protocols and protocols with some ASCII data are fully captured as they may be potentially useful for network analysis. We have named this approach as selective capping, and we have implemented and integrated it into a high-speed network driver and a software module at user level, to make its operation more transparent and faster to upper layer applications. The results are promising, and selective capping achieves multi-Gb/s rates by exploiting low-level hardware and software techniques to meet the fastest network rates.

Keywords

Interleaved asciiPacket storageSelective cappingTraffic capture

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2016, it was in position 8/262, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Electrical & Electronic.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-06-08:

  • Google Scholar: 7
  • WoS: 5
  • Scopus: 5
  • OpenCitations: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-08:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Uceda V.) and Last Author (ARACIL RICO, JAVIER).