Fractional approach for model of network access control using efficient method

Esin İLHAN

doi:https://doi.org/10.25092/baunfbed.931085

Article Details

Fractional approach for model of network access control using efficient method

Authors:

Esin İLHAN

Publisher:

Balıkesir University

Main Topics:

Astronomy and allied sciences

Journal:

Journal of Balıkesir University Institute of Science and Technology 2021 Vol.23 Issue 2, pp.732-747

Document Type:

Article

Publication Date:

7/2021

Document Language:

English

Document ID (Org No.):

2000924892

Frequency:

Bi-Annual

eISSN:

2536-5142

pISSN:

1301-7985

DOI:

https://doi.org/10.25092/baunfbed.931085

Keywords:

Abstract:

 

In this paper, we find the solution for the system of nonlinear ordinary differential equations having fractional-order arising in network access control using fractional natural decomposition method (FNDM). The consider a model which consists of a system of five nonlinear ordinary differential equations (NODEs), which illustrate the sensor networks are interesting essentials for malicious outbreaks that attack the network with the intention of reducing the integrity, availability and confidentiality. Further, we captured the nature of FNDM results for different value of fractional order in terms of the plots. The considered scheme highly effective and structured while examining nonlinear models and which can be observed and confirm from the obtained results. Further, the conspiracies cited in plots confirm the hired fractional operator and algorithm can help to exemplify the more fascinating properties of the nonlinear system associated real-world problems.

 

Bu makalede, kesirli doğal ayrıştırma yöntemi (FNDM) kullanarak ağ erişim kontrolünde ortaya çıkan kesirli mertebeye sahip doğrusal olmayan adi diferansiyel denklemler sistemi için çözüm buluyoruz. Sensör ağlarını göstermek için kullanılan ve beş doğrusal olmayan adi diferansiyel denklem (NODE) sisteminden oluşan bu model, bütünlüğü, kullanılabilirliği ve gizliliği azaltmak amacıyla ağa saldıranlar için ilginç temel özelliklere sahiptir. Ayrıca, grafikler açısından farklı kesirli parametre değerleri için FNDM çözümlerinin grafiklerini de çizdik. Dikkate alınan method, doğrusal olmayan modelleri incelerken oldukça etkili ve yapılandırılmıştır ve elde edilen sonuçlardan gözlemlenebilir ve doğrulanabilirdir. Üstelik, grafiklerden elde edilen verilerden,  kesirli operatörlerin, gerçek dünya problemlerinin kaydadeğer özelliklerini ortaya çıkarmak için oldukça yardımedebilir olduğu doğrulanır.

Article Details

Fractional approach for model of network access control using efficient method

Authors:

Esin İLHAN

Publisher:

Balıkesir University

Main Topics:

Astronomy and allied sciences

Journal:

Journal of Balıkesir University Institute of Science and Technology 2021 Vol.23 Issue 2, pp.732-747

Document Type:

Article

Publication Date:

7/2021

Document Language:

English

Document ID (Org No.):

2000924892

Frequency:

Bi-Annual

eISSN:

2536-5142

pISSN:

1301-7985

DOI:

https://doi.org/10.25092/baunfbed.931085

Caputo türevi

ağ erişim kontrol model

matematiksel model

kesirli natural ayrıştırma yöntemi.

Issues

Article Details

Fractional approach for model of network access control using efficient method

Authors: Esin İLHAN

Publisher: Balıkesir University

Main Topics: Astronomy and allied sciences

Journal: Journal of Balıkesir University Institute of Science and Technology 2021 Vol.23 Issue 2, pp.732-747

Document Type: Article

Publication Date: 7/2021

Document Language: English

Document ID (Org No.): 2000924892

Frequency: Bi-Annual

eISSN: 2536-5142

pISSN: 1301-7985

DOI: https://doi.org/10.25092/baunfbed.931085

Caputo türevi

ağ erişim kontrol model

matematiksel model

kesirli natural ayrıştırma yöntemi.

Issues

Authors:

Esin İLHAN

Publisher:

Balıkesir University

Main Topics:

Astronomy and allied sciences

Journal:

Journal of Balıkesir University Institute of Science and Technology 2021 Vol.23 Issue 2, pp.732-747

Document Type:

Article

Publication Date:

7/2021

Document Language:

English

Document ID (Org No.):

2000924892

Frequency:

Bi-Annual

eISSN:

2536-5142

pISSN:

1301-7985

DOI:

https://doi.org/10.25092/baunfbed.931085