{rfName}
Bi

Indexed in

Citations

28

Altmetrics

Analysis of institutional authors

Fraga, DavidAuthorManuel Moya, JoseAuthorMalagon, PedroAuthorAraujo, AlvaroAuthorRomero, ElenaAuthorBlesa, JavierAuthorNieto-Taladriz, OctavioAuthor

Share

June 9, 2019
Publications
>
Article
No

Bio-inspired enhancement of reputation systems for intelligent environments

Publicated to: INFORMATION SCIENCES. 222 99-112 - 2013-02-10 222(), DOI: 10.1016/j.ins.2011.07.032

Authors:

Bankovic, Zorana; Fraga, David; Manuel Moya, Jose; Carlos Vallejo, Juan; Malagon, Pedro; Araujo, Alvaro; de Goyeneche, Juan-Mariano; Romero, Elena; Blesa, Javier; Villanueva, Daniel; Nieto-Taladriz, Octavio
[+]

Affiliations

Laboratorio de Sistemas Integrados (LSI). Universidad Politécnica de Madrid - Author
Univ Politecn Madrid, Dpto Ingn Elect, ETSI Telecomunicac, E-28040 Madrid, Spain - Author

Abstract

Providing security to the emerging field of ambient intelligence will be difficult if we rely only on existing techniques, given their dynamic and heterogeneous nature. Moreover, security demands of these systems are expected to grow, as many applications will require accurate context modeling. In this work we propose an enhancement to the reputation systems traditionally deployed for securing these systems. Different anomaly detectors are combined using the immunological paradigm to optimize reputation system performance in response to evolving security requirements. As an example, the experiments show how a combination of detectors based on unsupervised techniques (self-organizing maps and genetic algorithms) can help to significantly reduce the global response time of the reputation system. The proposed solution offers many benefits: scalability, fast response to adversarial activities, ability to detect unknown attacks, high adaptability, and high ability in detecting and confining attacks. For these reasons, we believe that our solution is capable of coping with the dynamism of ambient intelligence systems and the growing requirements of security demands. (C) 2011 Elsevier Inc. All rights reserved.
[+]

Keywords

AlgorithmsAmbient intelligenceGenetic algorithmsIntrusion detectionReputation systemSecuritySelf-organizing mapsUnsupervised techniquesWireless sensor networks

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal INFORMATION SCIENCES 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, 2013, it was in position 8/135, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Information Systems.

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 2026-04-25:

  • Google Scholar: 12
  • WoS: 7
  • Scopus: 9
[+]

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 2026-04-25:

  • 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: 45 (PlumX).

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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/28976/

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: 489
  • Downloads: 404
[+]

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 (NIETO-TALADRIZ GARCIA, OCTAVIO).

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

[+]

Awards linked to the item

This work was funded by the Spanish Ministry of Industry, Tourism and Trade, under Research Grant TSI-020301-2009-18 (eCID), the Spanish Ministry of Science and Innovation, under Research Grant TEC2009-14595-C02-01, and the CENIT Project Segur@.
[+]