Fusion: Practice and Applications
FPA
2692-4048
2770-0070
10.54216/FPA
https://www.americaspg.com/journals/show/1705
2018
2018
Fusion Processing Techniques and Bio-inspired Algorithm for E-Communication and Knowledge Transfer
Al-Turath University College, Baghdad, 10021, Iraq
Omar Saad
Ahmed
Department of Computer Techniques Engineering, Al-Rafidain University College, Baghdad 10064, Iraq
Fay
Fadhil
Department of Medical device technology Engineering, Alfarahidi University, Baghdad, Iraq
Laith H. Jasim
Alzubaidi
Department of Business Administration, Al- Mustaqbal University College, Babylon 51001, Iraq
Riyadh Al
Al-Obaidi
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.
2023
2023
143
155
10.54216/FPA.100109
https://www.americaspg.com/articleinfo/3/show/1705