November 21, 2022
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An Encrypted Proposal Method in Membrane Computing Aggregation (MCA)

Publicated to: MOBILE NETWORKS & APPLICATIONS. 28 (2): 499-506 - 2023-04-01 28(2), DOI: 10.1007/s11036-022-02058-7

Authors:

Arteta Albert, Alberto; Zhao, Yanjun; de Mingo Lopez, Luis Fernando; Blas, Nuria Gomez
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Affiliations

Centro de Domótica Integral (CEDINT). Universidad Politécnica de Madrid - Author
Troy Univ, Coll Arts & Sci, 129-A MSCX,600 Univ Ave, Troy, NY 36082 USA - Author
Univ Politecn Madrid, Dept Sistemas Informat, ETS Ingn Sistemas Informat, Madrid 28031, Spain - Author
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Abstract

MCA (MCA (Membrane Computing Aggregation is an experimental bioinspired computational frame, inspired by the inner properties of membrane cells. It is capable of problem-solving activities by maintaining a special, meaningful relationship with the internal/external environment, integrating its self-reproduction processes within the information flow of incoming and outgoing signals. The amount of information that can process varies and it is supposed to enhance performance as per the parallel processing properties found in Nature. The paper describes a way of encrypting the information an MCA handle and also introduces an application of such a system. The results can be used as a building block for using complex cryptographic properties in alternative and emerging computational models.
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Keywords

CellsEncrypted p-systemsEvolutionMembrane computing aggregationNatural computingRegulatory networkSynthetic biology

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal MOBILE NETWORKS & APPLICATIONS 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, 2023, it was in position 29/59, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Science, Hardware & Architecture. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Computer Networks and Communications.

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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: 1 (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/87460/

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: 162
  • Downloads: 1
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United States of America.

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 (GOMEZ BLAS, NURIA).

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