Fuzzy Logic for the Improving of Handover Decision and the Adaptive Adjustment of Control Parameters in 5G Wireless Networks

Sandy Montajab

doi:https://doi.org/10.54216/NIF.040203

Journal of Neutrosophic and Fuzzy Systems | 2024

Finding the Units Tables of Finite Neutrosophic Rings Modulo Integers Z_n (I) for 3≤n≤16

This paper is dedicated to finding all invertible elements (algebraic units) in 14 different finite neutrosophic rings modulo integers 𝑍𝑛(𝐼) for all 3≤n≤16. We arrange the elements of the group of units of each ring in a table called the units table of the ring.  

groups

Stipan Podobnic mail

link https://doi.org/10.54216/JNFS.090101

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2024

On the Classification of 3-Cyclic Refined Real Vector Spaces and Related Inner Products

This paper is concerned with the study of the classification of 3-cyclic refined real vector spaces by semi-module isomorphisms, where we use this algebraic technique to find the algebraic relationship between real 3-cyclic refined vector spaces and classical vector spaces. Also, we define the inner products on these spaces and prove many related inequalities.  

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Mohammad Abobala mail -

Hasan Sankari mail

link https://doi.org/10.54216/JNFS.090102

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2024

On The Two-Fold Neutrosophic Groups and Their Algebra Properties

This paper is dedicated to define and study for the first time the concept of two-fold neutrosophic group by combining two-fold algebras with the classical concept of neutrosophic group. We study the elementary properties of this novel concept by many related theorems and illustrated examples.

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Ahmed Hatip mail

link https://doi.org/10.54216/JNFS.090103

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2024

A Note on Some Generalized M-Flat Modules

Let I be a right (left) ideal of a ring R, then R/I is a right (left) generalized m – flat module (GmF – module) if and only if for each a Î I , there exists b Î I and a fixed positive integer m such that . In this paper, we study the characterization and properties this class of flat modules, and we give the relation between this class and generalized m- flat modules and m– regular rings, reduced rings, reversible rings and uniform rings.

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Khaled Moaz mail

link https://doi.org/10.54216/JNFS.090104

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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Journal of Cybersecurity and Information Management | 2025

FreeHand Sketch based Authenticated Security System based using Damerau-Levenshtein Distance

Introducing a ground breaking approach for validation purposes, this document unveils the FreeHand Sketch-based Authentication Security System.  The biggest problem right now is how we protect our information in internet digital environment, which still has certain security flaws.  On-going security methods related to smartphone applications are mostly built with these security features like dotted patterns, biometrics, and iris and face recognition are the trendy methods. However, they are constrained in their own ways. Free-Hand Sketch Model enhances the basic and comparable security in digital accounts. The present research study made an attempt to make it easier in creating Free-Hand sketch passwords for easy remembrance. A simple Free-Hand sketch is an authorized model for the end users to create their own passwords against security attacks. The main methods suggested in this research study is Damerau-Levenshtein Distance (DLD) used to design Free-Hand sketch image processing model.

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N. Kesava Rao mail -

G. Srinivas mail -

P. V. G. D. Prasad Reddy mail

link https://doi.org/10.54216/JCIM.150128

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

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Journal of Cybersecurity and Information Management | 2025

Improved Security in Cloud Computer Networks Using RNN Deep Learning Techniques

DoS (denial of service) attacks address a remarkable new risk to cloud services and can really hurt cloud providers and their clients. DoS attacks can similarly achieve lost pay and security vulnerabilities due to system crashes, service power outages, and data breaks. Regardless, despite the fact that machine learning methods are the subject of assessment to distinguish DoS attacks, there has not been a ton of progress around here. In like manner, additional investigation is expected around here to make the best models for perceiving DoS attacks in cloud conditions. This change is proposed to search for a significant convolutional generative-arranged network as a significant learning model given further creating DoS attacks in the cloud. A proposed model of significant learning organizations (RNN) is used to fathom the spatiotemporal objects of organization traffic data, hence tracking down different models that show DoS attacks. Plus, to make RNN-LSTM all the more obvious for defending against attacks, it is acquired from a broad assortment of organization opportunity data. In addition, the model is dealt with by in reverse joint exertion and stochastic slope drop is the way into the current effortlessness of scaling among clear and saw traffic volumes. Test results show that the proposed model beats the latest particular attacks, relies upon denial of service, and undoubtedly shows misleading positive results.  

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Alaa Q. Raheema mail

link https://doi.org/10.54216/JCIM.150129

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

E-mail Classifications Based on Deep Learning Techniques

Email types sorting is one of the most important tasks in current information systems with the purpose to improve the security of messages, allowing for their sorting into different types. This paper aims at studying the Convolution Neural Network and Long Short-Term Memory (CNN-LSTM), Convolution Neural Network and Gated Recurrent Unit (CNN-GRU) and Long Short-Term Memory (LSTM) deep learning models for the classification of emails into categories such as “Normal”, “Fraudulent”, “Harassment” and “Suspicious”. The architecture of each model is discussed and the results of the models’ performance by testing on labelled emails are presented. Evaluation outcomes show substantial gains in precision and throughput to conventional approaches hence inferring to the efficiency of these proposed models for automated email filtration and content evaluation. Last but not the least, the performance of the classification algorithms is evaluated with the help of parameters like Accuracy, precision, recall and F1-Score. From the experiment, the models found out that CNN-LSTM, together with the Term Frequency and Inverse Document Frequency (TF-IDF) feature extraction yielded the highest accuracy. The accuracy, precision, recall and f1-score values are 99. 348%, 99. 5%, 99. 3%, and 99. 2%, respectively.

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Sarah H. Rakad mail -

Abdulkareem Merhej Radhi mail

link https://doi.org/10.54216/JCIM.150130

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

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Neutrosophic and Information Fusion | 2024

On the Hausdorff Method Applications in the Problem of Finding the Degree of Functions Approximation

In this research, we study the problem of determining the degree of approximation of functions using the Hausdorff method, and we can do this by proving the following results: If f∈Lip(α,p)with α>1/p and  be a continues aimost everywhere and 2m periodic function,Then the degree of approximation of (f ) ̃using hausdorff means of conjugate fourier series, is given by: 〗|(|H ̃_((n+λ) )  (f,a)-(f ) ̃(a)|)|_p=0((n+λ)^(1/p-α)  ) If  f be a 2m periodic function, continues almost everywhere on [–m,m]  andbelonging to the class Z_(α,p ),p≥1 .then the degree of approximation of function f of fouier series using hausdorff means,is given by: E_((n+λ) ) (f)= inf_((n+λ) ) ‖H_((n+λ) )-f‖_(α,p)=0(1/((n+λ) ) ∫_(1/(n+λ))^m▒〖t^(α-2)/v(t)  dt〗)  (5) where〖  t〗^αand v the zygmund moduli of continuity sunch that  t^α/v(t) positive and monotonic function.  

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Agnes Osagie mail

link https://doi.org/10.54216/NIF.040201

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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Neutrosophic and Information Fusion | 2024

A Novel Comparison between the Ordinary Estimators and Robust Estimators for the Parameters of Some Binary Mixed Models

A condensed study will be done to compare the ordinary estimators. In particular, the maximum likelihood estimator and the robust estimator, to estimate the parameters of the mixed model of order one, namely BARMA (1, 1). Simulation experiments will be applied for varieties of BARMA (1, 1) based on using small, moderate, and large sample sizes, where some new results were obtained. MAPE was used as a statistical criterion for comparison.

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Ahmad Khaldi mail

link https://doi.org/10.54216/NIF.040202

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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Neutrosophic and Information Fusion | 2024

Fuzzy Logic for the Improving of Handover Decision and the Adaptive Adjustment of Control Parameters in 5G Wireless Networks

Handover process is one of the most important aspects of mobility management in 5G wireless networks. It becomes a hot topic for researchers because it constitutes a guarantee of communication continuity during the user's movement, in addition to being the basic step on which the mobility load balancing process depends to distribute the load between the cells. The focus on this process is whether by providing solutions to improve the handover decision-making, or by modifying the values of the handover control parameters in a way that it guarantees the reduction of handover problems, because the inaccurate or unnecessary modification of these parameters values will cause a degradation in the quality of service. This paper presents a study targeting two mechanisms to improve handover decision-making and selection of handover control parameters adaptively based on different schemes. The first one, based on a learning model called LIM2 and the second one is based on fuzzy logic and is called RHOT-FLC. The results show that the RHOT-FLC mechanism, which relies on fuzzy logic and takes into account the user's velocity provides better performance in term of average throughput, packet drop rate, average HOPP probability, average HO latency, HO failure.

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Sandy Montajab Hazzouri mail

link https://doi.org/10.54216/NIF.040203

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new