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Analysis of institutional authors

Martinez EAuthor

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March 5, 2020
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Spreading-based voice encryption by means of OVSF codes

Publicated to: Applied Sciences-Basel. 10 (1): 112- - 2020-01-01 10(1), DOI: 10.3390/app10010112

Authors:

Renza, D; Ballesteros, DM; Martinez, E
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Affiliations

Univ Mil Nueva Granada, Fac Engn - Author
Univ Politecn Madrid, Comp Syst Architecture & Technol, Campus Montegancedo - Author
Universidad Militar Nueva Granada - Author
Universidad Politécnica de Madrid - Author
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Abstract

© 2019 by the authors. This paper presents a new methodology to encrypt voice signals, in such a way that they simulate being a noise signal. The objective is to obtain a signal that does not generate suspicions about its content, while protecting the message. The process is based on the spread and scrambling of the signal through the use of OVSF (orthogonal variable spreading factor) codes. The security of the method is based mainly on the input value used for the randomization phase. From a computational cost point of view, the use of fixed-length codes allows for a shorter retrieval time compared to a similar method based on variable-length codes. Regarding the encrypted signal, its main characteristic is its high entropy (very close to the ideal value). Finally, in the recovery process, a signal identical to the original is obtained.
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Keywords

Ciphered voiceNoisePrivacySignal encryptionSpreading

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Applied Sciences-Basel 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, 2020, it was in position 38/90, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Multidisciplinary. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Instrumentation.

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 2026-04-24:

  • Scopus: 2
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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 2026-04-24:

  • 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: 7 (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:

  • 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/91279/

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: 60
  • Downloads: 16
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Colombia; Granada.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (MARTINEZ IZQUIERDO, M.ESTIBALIZ).

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Contextual narrative

This paper introduces a voice encryption methodology that disguises voice signals as noise using OVSF codes, aiming to protect the message while avoiding suspicion. The method ensures high entropy in the encrypted signal and allows for efficient retrieval, producing a signal identical to the original during recovery.

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