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Network Security Enhanced with Deep Neural Network-Based Intrusion Detection System

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Computers, Materials & Continua 2024年第7期80卷 1457-1490页

作者： Fatma S.Alrayes Mohammed Zakariah syed Umar Amin zafar Iqbal Khan Jehad Saad Alqurni Information Systems Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computer and Information Sciences King Saud UniversityRiyadh11362Saudi Arabia College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Educational Technologies College of EducationImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

This study describes improving network security by implementing and assessing an intrusion detection system(IDS)based on deep neural networks(DNNs).The paper investigates contemporary technical ways for enhancing intrusion detection performance,given the vital relevance of safeguarding computer networks against harmful *** DNN-based IDS is trained and validated by the model using the NSL-KDD dataset,a popular benchmark for IDS *** model performs well in both the training and validation stages,with 91.30%training accuracy and 94.38%validation ***,the model shows good learning and generalization capabilities with minor losses of 0.22 in training and 0.1553 in ***,for both macro and micro averages across class 0(normal)and class 1(anomalous)data,the study evaluates the model using a variety of assessment measures,such as accuracy scores,precision,recall,and F1 *** macro-average recall is 0.9422,the macro-average precision is 0.9482,and the accuracy scores are ***,macro-averaged F1 scores of 0.9245 for class 1 and 0.9434 for class 0 demonstrate the model’s ability to precisely identify anomalies *** research also highlights how real-time threat monitoring and enhanced resistance against new online attacks may be achieved byDNN-based intrusion detection systems,which can significantly improve network *** study underscores the critical function ofDNN-based IDS in contemporary cybersecurity procedures by setting the foundation for further developments in this *** research aims to enhance intrusion detection systems by examining cooperative learning techniques and integrating up-to-date threat knowledge.

关键词： Machine-Learning Deep-Learning intrusion detection system security privacy deep neural network NSL-KDD Dataset

CNN Channel Attention Intrusion Detection SystemUsing NSL-KDD Dataset

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Computers, Materials & Continua 2024年第6期79卷 4319-4347页

Intrusion detection systems(IDS)are essential in the field of cybersecurity because they protect networks from a wide range of online *** goal of this research is to meet the urgent need for small-footprint,highly-adaptable Network Intrusion Detection Systems(NIDS)that can identify *** NSL-KDD dataset is used in the study;it is a sizable collection comprising 43 variables with the label’s“attack”and“level.”It proposes a novel approach to intrusion detection based on the combination of channel attention and convolutional neural networks(CNN).Furthermore,this dataset makes it easier to conduct a thorough assessment of the suggested intrusion detection ***,maintaining operating efficiency while improving detection accuracy is the primary goal of this ***,typical NIDS examines both risky and typical behavior using a variety of *** the NSL-KDD dataset,our CNN-based approach achieves an astounding 99.728%accuracy rate when paired with channel *** to previous approaches such as ensemble learning,CNN,RBM(Boltzmann machine),ANN,hybrid auto-encoders with CNN,MCNN,and ANN,and adaptive algorithms,our solution significantly improves intrusion detection ***,the results highlight the effectiveness of our suggested method in improving intrusion detection precision,signifying a noteworthy advancement in this *** efforts will focus on strengthening and expanding our approach in order to counteract growing cyberthreats and adjust to changing network circumstances.

关键词： Intrusion detection system(IDS) NSL-KDD dataset deep-learning machine-learning CNN channel Attention network security

A Structure Preserving Numerical Method for Solution of Stochastic Epidemic Model of Smoking Dynamics

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Computers, Materials & Continua 2020年第10期65卷 263-278页

作者： Ali Raza Muhammad Rafiq Nauman Ahmed ilyas Khan Kottakkaran Sooppy Nisar zafar Iqbal Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Faculty of Engineering University of Central PunjabLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh CityVietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia

In this manuscript,we consider a stochastic smoking epidemic model from behavioural ***,we develop a structure preserving numerical method to describe the dynamics of stochastic smoking epidemic model in a human *** structural properties of a physical system include positivity,boundedness and dynamical *** properties play a vital role in non-linear *** solution for nonlinear stochastic models necessitates the conservation of these ***,the aforementioned properties of the model have not been restored in the existing stochastic ***,it is essential to construct a structure preserving numerical method for a reliable analysis of stochastic smoking *** usual explicit stochastic numerical methods are time-dependent and violate most of the structural *** this work,we have developed the implicitly driven explicit method for the solution of stochastic smoking *** is also proved that the newly developed method sustains all the aforementioned properties of the ***,the convergence analysis of the newly developed method and graphical illustrations are presented.

关键词： Smoking model stochastic numerical techniques convergence

Hybrid Global Optimization Algorithm for Feature Selection

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Computers, Materials & Continua 2023年第1期74卷 2021-2037页

作者： Ahmad Taher Azar zafar Iqbal Khan syed Umar Amin Khaled M.Fouad Faculty of Computers and Artificial Intelligence Benha UniversityBenha13511Egypt College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Technology and Computer Science Nile UniversitySheikh ZaidEgypt

This paper proposes Parallelized Linear Time-Variant Acceleration Coefficients and Inertial Weight of Particle Swarm Optimization algorithm(PLTVACIW-PSO).Its designed has introduced the benefits of Parallel computing into the combined power of TVAC(Time-Variant Acceleration Coefficients)and IW(Inertial Weight).Proposed algorithm has been tested against linear,non-linear,traditional,andmultiswarmbased optimization *** experimental study is performed in two stages to assess the proposed *** I uses 12 recognized Standard Benchmarks methods to evaluate the comparative performance of the proposed PLTVACIWPSO *** based Particle Swarm Optimization(PSO)algorithms,TVAC based PSO algorithms,traditional PSO,Genetic algorithms(GA),Differential evolution(DE),and,finally,Flower Pollination(FP)*** phase II,the proposed PLTVACIW-PSO uses the same 12 known Benchmark functions to test its performance against the BAT(BA)and Multi-Swarm BAT *** phase III,the proposed PLTVACIW-PSO is employed to augment the feature selection problem formedical *** experimental study shows that the planned PLTVACIW-PSO outpaces the performances of other comparable *** from the experiments shows that the PLTVACIW-PSO is capable of outlining a feature subset that is capable of enhancing the classification efficiency and gives the minimal subset of the core features.

关键词： Particle swarm optimization(PSO) time-variant acceleration coefficients(TVAC) genetic algorithms differential evolution feature selection medical data

Structure Preserving Algorithm for Fractional Order Mathematical Model of COVID-19

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Computers, Materials & Continua 2022年第5期71卷 2141-2157页

作者： zafar Iqbal Muhammad Aziz-ur Rehman Nauman Ahmed Ali Raza Muhammad Rafiq ilyas Khan Kottakkaran Sooppy Nisar Department of Mathematics University of Management and TechnologyLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityIslamabad44000Pakistan Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahore54500Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharj11991Kingdom of Saudi Arabia

In this article,a brief biological structure and some basic properties of COVID-19 are described.A classical integer order model is modified and converted into a fractional order model withξas order of the fractional ***,a valued structure preserving the numerical design,coined as Grunwald–Letnikov non-standard finite difference scheme,is developed for the fractional COVID-19 *** into account the importance of the positivity and boundedness of the state variables,some productive results have been proved to ensure these essential *** of the model at a corona free and a corona existing equilibrium points is investigated on the basis of Eigen *** Routh–Hurwitz criterion is applied for the local stability *** appropriate example with fitted and estimated set of parametric values is presented for the *** solutions are displayed for the chosen values ofξ(fractional order of the derivatives).The role of quarantined policy is also determined gradually to highlight its significance and relevancy in controlling infectious *** the end,outcomes of the study are presented.

关键词： Coronavirus pandemic model deterministic ordinary differential equations numerical methods convergence analysis

Hard exudates referral system in eye fundus utilizing speeded up robust features

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International Journal of Ophthalmology(English edition) 2017年第7期10卷 1171-1174页

作者： syed Ali Gohar Naqvi Hafiz Muhammad Faisal zafar Ihsanul Haq International Islamic University (IIUI)

In the paper a referral system to assist the medical experts in the screening/referral of diabetic retinopathy is suggested. The system has been developed by a sequential use of different existing mathematical techniques. These techniques involve speeded up robust features（SURF）, K-means clustering and visual dictionaries（VD）. Three databases are mixed to test the working of the system when the sources are dissimilar. When experiments were performed an area under the curve（AUC） of 0.9343 was attained. The results acquired from the system are promising.

关键词： referral system speeded up robust features eye fundus visual dictionaries

Studying the patterns of alien and native floras of some habitats in Srinagar city, Kashmir, India

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Ecological Processes 2015年第1期4卷 17-28页

作者： syed Mubashir Andrabi zafar Ahmad Reshi Manzoor Ahmad Shah Salman Qureshi Department of Botany University of KashmirSrinagar 190006Jammu and KashmirIndia Department of Geography Humboldt University of BerlinRudower Chaussee 1612489 BerlinGermany School of Architecture Birmingham City UniversityThe Parkside Building5 Cardigan StreetBirmingham B47BDUK

Introduction:Urban flora is an important component of human-dominated ecosystems that links urban dwellers with *** study aims at compiling and analysing the alien and native vascular plant species of some selected habitats in the Srinagar city,Kashmir,***:Bi-seasonal sampling was employed and each habitat type(viz.,graveyards,grasslands,orchards and wastelands)was sampled at seven different ***:The number of species recorded from graveyards was 96;from grasslands 112;141 from orchards and 110 from *** level of invasion among habitats varied from 67.27%to 68.75%,with a mean value of 67.86%;out of clubbed species list,64.84%were ***,Poaceae,Brassicaceae and Fabaceae were the biggest families in all four habitat ***:Our research shows that across habitats,alien plant species are the predominant part of their floras.

关键词： Alien Flora Herbs Srinagar city Level of invasion

General Solution for Unsteady Natural Convection Flow with Heat and Mass in the Presence of Wall Slip and Ramped Wall Temperature

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Communications in Theoretical Physics 2019年第6期71卷 647-657页

作者： Saeed Ullah Jan Sami Ul Haq syed Inayat Ali Shah ilyas Khan Muhammad Atif Khan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh CityVietnam Department of Mathematics Islamia College UniversityPeshawar25000Pakistan Department of Mathematics Kohat University of Science&TechnologyKohat26000Pakistan

This work is focused on the effect of heat and mass transfer with unsteady natural convection flow of viscous fluid along with ramped wall temperature under the assumption of the slip wall condition at the boundary. Analytical solutions are obtained by using Laplace transformation to the non-dimensional set of governing equations containing velocity, temperature and concentration. Moreover, the expression for skin-friction is derived by differentiating the analytical solutions of fluid velocity. Numerical tables for Skin-friction, Sherwood number and Nusselt-number are examined. For the physical aspects of the flow, we use various values of involved physical parameters such as Prandtl number(Pr), slip parameter(η), Schmidt number(Sc), buoyancy ratio parameter(N), Sherwood number(Sh), and time(t). Additionally, the general solutions are plotted graphically and a comprehensive theoretical section of numerical discussions is included.

关键词： slip boundary condition heat and mass transfer skin-friction

Second Law Analysis of Magneto Radiative GO-MoS_(2)/H_(2)O–(CH_(2)OH)_(2) Hybrid Nanofluid

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Computers, Materials & Continua 2021年第7期68卷 213-228页

作者： Adnan Umar Khan Naveed Ahmed syed Tauseef Mohyud-Din Dumitru Baleanu Kottakkaran Sooppy Nisar ilyas Khan Department of Mathematics Mohi-ud-Din Islamic UniversityNerian Sharif AJ&K12080Pakistan Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Department of Mathematics Faculty of Sciences HITEC UniversityTaxila Cantt47070Pakistan University of Multan Multan66000Pakistan Department of Mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele077125Romania Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwan Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadiAldawaser11991Saudi Arabia Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam

Entropy Generation Optimization(EGO)attained huge interest of scientists and researchers due to its numerous applications comprised in mechanical engineering,air conditioners,heat engines,thermal machines,heat exchange,refrigerators,heat pumps and substance mixing ***,the study of radiative hybrid nanofluid(GO-MoS_(2)/C_(2)H_(6)O_(2)–H_(2)O)and the conventional nanofluid(MoS_(2)/C_(2)H_(6)O_(2)–H_(2)O)is conducted in the presence of Lorentz *** flow configuration is modeled between the parallel rotating plates in which the lower plate is *** models which govern the flow in rotating system are solved numerically over the domain of interest and furnished the results for the temperature,entropy generation and thermophysical characteristics of the hybrid as well as conventional nanofluids,*** is examined that the thermal profile intensifies against stronger thermal radiations and magnetic *** surface of the plate is heated due to the imposed thermal radiations and magnetic field which cause the increment in the *** is also observed that the temperature declines against more rotating ***,the entropy production increases for more dissipative effects and declines against more magnetized *** conductivities of the hybrid nanofluid enhances promptly in comparison with regular liquid therefore,under consideration hybrid nanofluid is reliable for the heat ***,dominating thermal transport is perceived for the hybrid nanofluid which showed that hybrid suspension GO-MoS_(2)/C_(2)H_(6)O_(2)–H_(2)O is better for industrial,engineering and technological uses.

关键词： Heat transfer thermal radiation Entropy Generation GO-MoS_(2)hybrid nanoparticles thermophysical characteristics