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Analysis of institutional authors

Camacho, DavidAuthorMartin, AlejandroAuthor

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June 10, 2024
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Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization

Publicated to: Cognitive Computation. 16 (5): 2154-2168 - 2024-09-01 16(5), DOI: 10.1007/s12559-024-10301-4

Authors:

Alazab, M; Khurma, RA; Camacho, D; Martin, A
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Affiliations

Al Balqa Appl Univ, Fac Artificial Intelligence, Dept Intelligent Syst, Salt, Jordan - Author
Appl Sci Private Univ, Appl Sci Res Ctr, Amman 11931, Jordan - Author
Middle East Univ, Fac Informat Technol, MEU Res Unit, Amman 11831, Jordan - Author
Univ Politecn Madrid, Dept Comp Syst Engn, Madrid, Spain - Author
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Abstract

Ransomware is a significant security threat that poses a serious risk to the security of smartphones, and its impact on portable devices has been extensively discussed in a number of research papers. In recent times, this threat has witnessed a significant increase, causing substantial losses for both individuals and organizations. The emergence and widespread occurrence of diverse forms of ransomware present a significant impediment to the pursuit of reliable security measures that can effectively combat them. This constitutes a formidable challenge due to the dynamic nature of ransomware, which renders traditional security protocols inadequate, as they might have a high false alarm rate and exert significant processing demands on mobile devices that are restricted by limited battery life, CPU, and memory. This paper proposes a novel intelligent method for detecting ransomware that is based on a hybrid multi-solution binary JAYA algorithm with a single-solution simulated annealing (SA). The primary objective is to leverage the exploitation power of SA in supporting the exploration power of the binary JAYA algorithm. This approach results in a better balance between global and local search milestones. The empirical results of our research demonstrate the superiority of the proposed SMO-BJAYA-SA-SVM method over other algorithms based on the evaluation measures used. The proposed method achieved an accuracy rate of 98.7%, a precision of 98.6%, a recall of 98.7%, and an F1 score of 98.6%. Therefore, we believe that our approach is an effective method for detecting ransomware on portable devices. It has the potential to provide a more reliable and efficient solution to this growing security threat.
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Keywords

Feature selectioFeature selectionMalwareOptimzationRansomwareSimulated annealingSmote

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Cognitive Computation 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, 2024 there are still no calculated indicators, but in 2023, it was in position 71/314, thus managing to position itself as a Q1 (Primer Cuartil), in the category Neurosciences.

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:

  • WoS: 2
  • Scopus: 6
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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 2026-04-25:

  • 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: 12.
  • 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: 12 (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: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

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/89080/

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: 109
  • Downloads: 104
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Jordan.

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 (MARTIN GARCIA, ALEJANDRO).

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Awards linked to the item

No Statement Available
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