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Fusion: Practice and Applications
Volume 10 , Issue 1, PP: 143-155 , 2023 | Cite this article as | XML | Html |PDF

Title

Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer

  Omar Saad Ahmed 1 * ,   Fay Fadhil 2 ,   Laith H. Jasim Alzubaidi 3 ,   Riyadh Al-Obaidi 4

1  Al-Turath University College, Baghdad, 10021, Iraq
    (omar.saad@turath.edu.iq)

2  Department of Computer Techniques Engineering, Al-Rafidain University College, Baghdad 10064, Iraq
    (rana.abbas@ruc.edu.iq)

3  Department of Medical device technology Engineering, Alfarahidi University, Baghdad, Iraq
    (fay.fadhil@alfarahidiuc.edu.iq)

4  Department of Business Administration, Al- Mustaqbal University College, Babylon 51001, Iraq
    (raidh.h.salman@uomus.edu.iq)


Doi   :   https://doi.org/10.54216/FPA.100109

Received: June 18, 2022 Accepted: November 12, 2022

Abstract :

This study suggests employing a dynamic natural and bio-inspired algorithm (DNBIA) to strengthen the confidentiality, integrity, and availability of digital information exchanges. You may think of the suggested method as a clever approach to Fusion Processing. Fusion Processing is the practice of combining and analyzing information from many databases. The efficiency and reaction time of e-communication systems may be increased by the use of the suggested DNBIA algorithm, which processes and integrates data from different sources. It is also possible to see the multi-objective optimization study presented in this work as a type of Fusion Processing. Cyberattacks and other types of computer security risks are the focus of this study, which seeks to optimize numerous objectives concurrently in order to eliminate them. The study can give a complete solution to improve the security of e-communication systems by combining different goals. The suggested method of enhancing e-communication and information transmission using DNBIA and multi-objective optimization analysis can be seen as a type of Fusion Processing. Efficient e-communication systems may be achieved by collecting data from a variety of sources and analyzing the results.

Keywords :

E-Communication; Knowledge Transfer; Natural; Fusion Processing; Bio-Inspired Algorithms.

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Cite this Article as :
Style #
MLA Omar Saad Ahmed, Fay Fadhil, Laith H. Jasim Alzubaidi, Riyadh Al-Obaidi. "Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer." Fusion: Practice and Applications, Vol. 10, No. 1, 2023 ,PP. 143-155 (Doi   :  https://doi.org/10.54216/FPA.100109)
APA Omar Saad Ahmed, Fay Fadhil, Laith H. Jasim Alzubaidi, Riyadh Al-Obaidi. (2023). Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer. Journal of Fusion: Practice and Applications, 10 ( 1 ), 143-155 (Doi   :  https://doi.org/10.54216/FPA.100109)
Chicago Omar Saad Ahmed, Fay Fadhil, Laith H. Jasim Alzubaidi, Riyadh Al-Obaidi. "Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer." Journal of Fusion: Practice and Applications, 10 no. 1 (2023): 143-155 (Doi   :  https://doi.org/10.54216/FPA.100109)
Harvard Omar Saad Ahmed, Fay Fadhil, Laith H. Jasim Alzubaidi, Riyadh Al-Obaidi. (2023). Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer. Journal of Fusion: Practice and Applications, 10 ( 1 ), 143-155 (Doi   :  https://doi.org/10.54216/FPA.100109)
Vancouver Omar Saad Ahmed, Fay Fadhil, Laith H. Jasim Alzubaidi, Riyadh Al-Obaidi. Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer. Journal of Fusion: Practice and Applications, (2023); 10 ( 1 ): 143-155 (Doi   :  https://doi.org/10.54216/FPA.100109)
IEEE Omar Saad Ahmed, Fay Fadhil, Laith H. Jasim Alzubaidi, Riyadh Al-Obaidi, Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer, Journal of Fusion: Practice and Applications, Vol. 10 , No. 1 , (2023) : 143-155 (Doi   :  https://doi.org/10.54216/FPA.100109)