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Analysis of institutional authors

Fraga, DavidAuthorMoya, Jose M.Author

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June 9, 2019
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Detecting Unknown Attacks in Wireless Sensor Networks That Contain Mobile Nodes

Publicated to: SENSORS. 12 (8): 10834-10850 - 2012-08-01 12(8), DOI: 10.3390/s120810834

Authors:

Bankovic, Z; Fraga, D; Moya, JM; Vallejo, JC
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Affiliations

Univ Politecn Madrid, Dept Ingn Elect, ETSI Telecomunicac, E-28040 Madrid, Spain - Author

Abstract

As wireless sensor networks are usually deployed in unattended areas, security policies cannot be updated in a timely fashion upon identification of new attacks. This gives enough time for attackers to cause significant damage. Thus, it is of great importance to provide protection from unknown attacks. However, existing solutions are mostly concentrated on known attacks. On the other hand, mobility can make the sensor network more resilient to failures, reactive to events, and able to support disparate missions with a common set of sensors, yet the problem of security becomes more complicated. In order to address the issue of security in networks with mobile nodes, we propose a machine learning solution for anomaly detection along with the feature extraction process that tries to detect temporal and spatial inconsistencies in the sequences of sensed values and the routing paths used to forward these values to the base station. We also propose a special way to treat mobile nodes, which is the main novelty of this work. The data produced in the presence of an attacker are treated as outliers, and detected using clustering techniques. These techniques are further coupled with a reputation system, in this way isolating compromised nodes in timely fashion. The proposal exhibits good performances at detecting and confining previously unseen attacks, including the cases when mobile nodes are compromised.
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Keywords

clustering algorithmsmobilityreputation systemsunknown attacksAlgorithmsCluster analysisClustering algorithmsComputer communication networksComputer securityComputer simulationIntrusion detectionMobilityModels, theoreticalReputation systemsSelf-organizing mapsUnknown attacksWireless sensor networksWireless technology

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SENSORS 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, 2012, it was in position 15/26, thus managing to position itself as a Q1 (Primer Cuartil), in the category Electrochemistry.

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 2026-04-27:

  • Google Scholar: 17
  • WoS: 6
  • Scopus: 5
  • Europe PMC: 1
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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 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 25.
  • 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: 25 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/16823/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 469
  • Downloads: 248
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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 (BANKOVIC, Zorana) and Last Author (Carlos Vallejo, Juan).

the author responsible for correspondence tasks has been BANKOVIC, Zorana.

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Awards linked to the item

This work was funded by the Spanish Ministry of Science and Innovation, under Research Grant AMILCAR TEC2009-14595-C02-01, and the Campus of International Excellence (CEI) of Moncloa, under Research Grant of the Program for Attracting Talent (PICATA).
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