Brain Storm Optimization with Long Short Term Memory Enabled Phishing Webpage Classification for Cybersecurity

Mahmoud A.; Nabil M.

doi:https://doi.org/10.54216/JCIM.090202

Journal of Neutrosophic and Fuzzy Systems | 2022

The Structure of Imperfect Triplets in Several Refined Neutrosophic Rings

This paper solves the imperfect triplets problem in refined neutrosophic rings, where it presents the necessary and sufficient conditions for a triple  (x,y,z) to be an imperfect triplet in any refined neutrosophic ring. Also, this work introduces a full description of the structure of imperfect triplets in numerical refined neutrosophic rings such as refined neutrosophic ring of integers Z(I1,I2) , refined neutrosophic ring of rationales Q(I1,I2), and refined neutrosophic ring or real numbers  (R(I1,I2). 

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Mikail Bal mail -

Katy D. Ahmad mail -

Arwa A. Hajjari mail -

Rozina Ali mail

link https://doi.org/10.54216/JNFS.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

Mcdm WASPA in a Neutrosophic Environment Applied to Optimization of the Parameters for Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin Walled Parts.

The following research shows a methodology that combines the multicriteria method WASPAS and Neutrosophic, which seeks to improve decision making within the planning processes in machine shops. With WASPAS the best alternative is selected and Neutrosophic offers us the advantage of driving the concept of uncertainties and neutralities, and with it the values of the input variables for high speed machining to manufacture the rectangular piece of aluminum alloy 5083. With the evaluation of the criteria, when applying the method it is obtained as objective that the alternative ten is the best, therefore, when implementing the input parameters: S = 15000 rpm, doc= 0.10 mm, ts= 3.0 mm, F= 3600 m/min, the surface quality and low deformation of the part is guaranteed. It is concluded that the WASPAS multicriteria analysis method with neutrosophy is an excellent tool, with a low cost and good reliability, as a solution to be applied in machining shops to improve decision making in process planning processes from the optimal selection of machining parameters.

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Hiovanis Castillo Pantoja mail -

Ángel Eugenio Infante Haynes mail

link https://doi.org/10.54216/IJNS.180107

Volume & Issue

Vol. Volume 18 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

A short history of fuzzy, intuitionistic fuzzy, neutrosophic and plithogenic sets

Recently, research on uncertainty modeling is progressing rapidly and many essential and breakthrough studies have already been done. There are various ways such as fuzzy, intuitionistic and neutrosophic sets to handle these uncertainties. Although these concepts can handle incomplete information in various real-world issues, they cannot address all types of uncertainty such as indeterminate and inconsistent information. Also, plithogenic sets as a generalization of crisp, fuzzy, intuitionistic fuzzy, and neutrosophic sets, which is a set whose elements are characterized by many attributes’ values. In this paper, our aim is to demonstrate and review the history of fuzzy, intuitionistic and neutrosophic sets. For this purpose, we divided the paper as: section 1. History of Fuzzy Sets, section 2. History of Intuitionistic Fuzzy Sets and section 3. History of Neutrosophic Theories and Applications, section 4. History of Plithogenic Sets.

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A. Rezaei mail -

T. Oner mail -

T. Katican mail -

F. Smarandache mail -

N. Gandotra mail

link https://doi.org/10.54216/IJNS.180109

Volume & Issue

Vol. Volume 18 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2022

Decision Making Applications for Business Based on Generalized Set-Valued Neutrosophic Quadruple Sets

In this article, an algorithm is introduced that makes it easier for us to choose the right operator in order to overcome the possible problems faced by a business, small or huge. This algorithm is based on the Euclidean similarity measure on generalized set-valued neutrosophic quadruple numbers and sets. By using this algorithm, one can calculate the similarity of the criteria between the requested and already owned skills of the operators in general. By this means, one can make the right choice to hire the right operator without giving preferential treatment or personal favors. The closer the similarity value is to 1, the more accurate our selection will be.

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Nuh Okumus mail -

Merve Sena Uz mail

link https://doi.org/10.54216/IJNS.180108

Volume & Issue

Vol. Volume 18 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

Single Valued Neutrosophic Dynamic Vertex Coloring of Some Cartesian Product and Join of SVNG′s

The concept of neutrosophic sets makes it easier to analyse values that are ambiguous or indeterminate. We illustrate the concept of single-valued neutrosophic R-dynamic vertex coloring in this study. In addition, the single valued neutrosophic dynamic vertex coloring of the Cartesian product of path with cycle, cycle with cycle, complete SVNG with complete SVNG and cycle has been determined. Also, we have discussed the single valued neutrosophic dynamic vertex coloring of join of complete SVNG with complete SVNG and cycle, cycle with cycle.

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Aparna V. mail -

Mohanapriya N. mail -

broumi said mail

link https://doi.org/13.54216/IJNS.180110

Volume & Issue

Vol. Volume 18 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2022

Factors Influencing Educational Achievements of the Students: A case study of University of Peshawar, Pakistan

The main goal of the paper is to determine the factors affecting the student’s academic achievements at the University of Peshawar. This study would help the students and teachers to identify the factors that improve the academic achievements of the students. A descriptive type of questionnaire was designed to gathered information from 264 students studying in various departments at the University of Peshawar, Pakistan. The study focuses on different factors including socio-economic factors, teacher’s effectiveness and methodology of their teaching, social media, and the use of mobile phones, and parental factors.  Chi-square statistics were used to study the impact of factors affecting the student academic achievements. The analysis concluded that except for the gender under socio-economic factors, teacher experience under teacher effectiveness factors, parent relationship with the student and their family income under parental factors, and the use of social media and mobile phones all the factors have an impact on the student academic achievements.

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Muhammad Ijaz mail -

Rida Batool mail -

Syed Muhammad Asim mail

link https://doi.org/10.54216/AJBOR.060104

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

Expected Value of Asymmetric Coordinated Search Technique for Detecting a Randomly Located Target on the Plane

This paper proposes Asymmetric coordination strategy, we study coordinated search technique for a lost located object on the plan, where there are two searchers beginning their search from the same initial point (0, 0), but both sides do not have the same area. Here we introduce a model of search plan and investigate the expected value of detecting the lost target in both sides to avoid wasting time. We present an algorithm to facilitate the search technique. An illustrative application from real life has been introduced to demonstrate the applicability of this search technique. The effectiveness of this model has been illustrated by numerical results

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Sundus Naji AL-Aziz mail

link https://doi.org/10.54216/AJBOR.060105

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

Neutrosophic Multicriteria Methods for the Selection of Sustainable Alternative Materials in Concrete Design

Increased awareness of the environmental impacts associated with excessive carbon dioxide emissions generated from cement production has led to great strides in developing technologies and materials aimed at reducing such impacts. A large amount of work has been carried out worldwide related to the design of more sustainable concrete mixes that take advantage of natural elements or those recovered from waste. This work analyzes a set of alternatives for substitutes of concrete mix aggregates that guarantee the best levels of resistance to compression and also comply with the principles of environmental sustainability. To do this, the TOPSIS multi-criteria decision method is used to determine the preferred substitute alternative for aggregates based on certain criteria. The analysis carried out using the TOPSIS method revealed that the alternative with the highest level of proximity to the ideal solution was the use of recycled glass as an additive to the concrete mix. It was observed that the specialists considered the environmental impact and the resistance and durability of the resulting concrete as the most important criteria to assess. A qualitative comparison of the alternatives resulting from the analysis was carried out to verify the results achieved by the method used.

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Jesus Estupiñan Rcardo mail -

Maikel Leyva Vázquez mail

link https://doi.org/10.54216/AJBOR.060203

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2022

Stock Closing Price Prediction of ISX-listed Industrial Companies Using Artificial Neural Networks

Making stock investment decisions is a complex challenge that investors continuously face. When it comes to an uncertain future, making the wrong decision can result in massive losses. The paper aims to develop an artificial neural networks-based model predicting the closing price of top-six traded industrial ISX-listed stocks, which can guide investment decisions. The sample consisted of daily indexes ISX-released from (3/3/2019) to (31/3/2019). Matlab 2014b was used to run artificial neural networks using the nntool software. The model's performance was evaluated using Mean squared error (MSE), Root means squared error (RMSE), and R squared. Empirical results demonstrated the ability and efficiency of artificial neural networks to predict closing prices with high accuracy. As a result, we recommended employing the Artificial Neural Networks model to predict stock prices as well as relying on it to make decisions.

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Salim Sallal Al-Hasnawi mail -

Laith Haleem Al-Hchemi mail

link https://doi.org/10.54216/AJBOR.060205

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2022

Brain Storm Optimization with Long Short Term Memory Enabled Phishing Webpage Classification for Cybersecurity

Phishing is a familiar kind of cyberattack in the present digital world. Phishing detection with maximum performance accuracy and minimum computational complexity is continuously a topic of much interest. A novel technology was established for improving the phishing detection rate and decreasing computational constraints recently. But, one solution has inadequate for addressing every problem due to attackers from cyberspace. Thus, the initial objective of this work is for analysing the performance of different deep learning (DL) techniques from detection phishing activity. This study introduces a novel Brain Storm Optimization with Long Short Term Memory Enabled Phishing Webpage Classification (BSOLSTM-PWC) for Cybersecurity. The proposed BSOLSTM-PWC technique enables to accomplish cybersecurity by the identification and classification of phishing webpages. To accomplish this, the BSOLSTM-PWC technique initially employs data pre-processing technique to transform the data into actual format. Besides, the BSOLSTM-PWC technique employs LSTM classifier for the identification and categorization of phishing webpages. Moreover, the BSO algorithm is utilized to appropriately adjust the hyperparameters involved in the LSTM model. For reporting the improved outcomes of the BSOLSTM-PWC method, a wide-ranging simulation analysis is made using benchmark dataset. The experimental outcomes reported the enhanced outcomes of the BSOLSTM-PWC method on existing methods.

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Mahmoud A. Zaher mail -

Nabil M. Eldakhly mail

link https://doi.org/10.54216/JCIM.090202

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

Details open_in_new