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Analysis of institutional authors

Martín García, AlejandroAuthorAlazab M, Abu Khurma R, Castillo Pa, Abu-Salih B, Martín A, Camacho DCorresponding Author

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December 22, 2023
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An effective networks intrusion detection approach based on hybrid Harris Hawks and multi-layer perceptron

Publicated to: Egyptian Informatics Journal. 25 100423- - 2024-03-01 25(), DOI: 10.1016/j.eij.2023.100423

Authors: Alazab, M; Abu Khurma, R; Castillo, PA; Abu-Salih, B; Martín, A; Camacho, D

Affiliations

Al Balqa Appl Univ, Fac Artificial Intelligence, Amman, Jordan - Author
Al-Balqa Applied University - Author
Middle East Univ, Fac Informat Technol, MEU Res Unit, Amman, Jordan - Author
Middle East University, Jordan - Author
The University of Jordan - Author
Univ Granada, Dept Comp Engn Automat & Robot, Granada, Spain - Author
Univ Jordan, King Abdullah II School Informat Technol, Amman, Jordan - Author
Univ Politecn Madrid, Dept Comp Syst Engn, Madrid, Spain - Author
Universidad de Granada - Author
Universidad Politécnica de Madrid - Author
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Abstract

This paper proposes an Intrusion Detection System (IDS) employing the Harris Hawks Optimization algorithm (HHO) to optimize Multilayer Perceptron learning by optimizing bias and weight parameters. HHO-MLP aims to select optimal parameters in its learning process to minimize intrusion detection errors in networks. HHO-MLP has been implemented using EvoloPy NN framework, an open-source Python tool specialized for training MLPs using evolutionary algorithms. For purposes of comparing the HHO model against other evolutionary methodologies currently available, specificity and sensitivity measures, accuracy measures, and mse and rmse measures have been calculated using KDD datasets. Experiments have demonstrated the HHO MLP method is effective at identifying malicious patterns. HHO-MLP has been tested against evolutionary algorithms like Butterfly Optimization Algorithm (BOA), Grasshopper Optimization Algorithms (GOA), and Black Widow Optimizations (BOW), with validation by Random Forest (RF), XGBoost. HHO-MLP showed superior performance by attaining top scores with accuracy rate of 93.17%, sensitivity level of 89.25%, and specificity percentage of 95.41%.

Keywords

feature-selectionharris hawks optimization (hho)intrusion detection system (ids)machinemalwareDetection systemHarris hawks optimization (hho)Intrusion detection system (ids)Multi-layer perceptron (mlp)

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Egyptian Informatics Journal due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), 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 , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science Applications.

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 2025-12-05:

  • WoS: 8
  • Scopus: 28

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 2025-12-05:

  • 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: 40.
  • 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: 40 (PlumX).

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

    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/88863/

    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: 140
    • Downloads: 12

    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: First Author (CAMACHO FERNANDEZ, DAVID) .

    the author responsible for correspondence tasks has been CAMACHO FERNANDEZ, DAVID.