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Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment

Computers, Materials & Continua 2021年第3期66卷 2723-2749页

作者： Shumaila Shahzadi Fahad Ahmad Asma Basharat Madallah Alruwaili Saad alanazi Mamoona Humayun Muhammad Rizwan Shahid Naseem Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakaka72341Saudi Arabia Division of Computer Science&Information Technology University of EducationLahore54000Pakistan

With the rising demand for data access,network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for *** increase efficacy of Software Defined Network(SDN)and Network Function Virtualization(NFV)framework,we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency,reduce network performance,and increase maintenance *** existing frameworks lack in security,and computer systems face few abnormalities,which prompts the need for different recognition and mitigation methods to keep the system in the operational state *** fundamental concept behind SDN-NFV is the encroachment from specific resource execution to the programming-based *** research is around the combination of SDN and NFV for rational decision making to control and monitor traffic in the virtualized *** combination is often seen as an extra burden in terms of resources usage in a heterogeneous network environment,but as well as it provides the solution for critical problems specially regarding massive network traffic *** attacks have been expanding step by step;therefore,it is hard to recognize and protect by conventional *** overcome these issues,there must be an autonomous system to recognize and characterize the network traffic’s abnormal conduct if there is *** four types of assaults,including HTTP Flood,UDP Flood,Smurf Flood,and SiDDoS Flood,are considered in the identified dataset,to optimize the stability of the SDN-NFVenvironment and security management,through several machine learning based characterization techniques like Support Vector Machine(SVM),k-Nearest Neighbors(kNN),Logistic Regression(LR)and Isolation Forest(IF).Python is used for simulation purposes,including several valuable utilities like the mine package,the open-source Python ML libraries Scikit-lea

关键词： Software defined network network function virtualization machine learning support vector machine k-nearest neighbors logistic regression isolation forest anomaly detection attacks

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An Optimal Scheme for WSN Based on Compressed Sensing

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Computers, Materials & Continua 2022年第7期72卷 1053-1069页

作者： Firas Ibrahim AlZobi Ahmad Ali AlZubi kulakov Yurii Abdullah Alharbi Jazem Mutared alanazi Sami Smadi Department of Information Systems and Networks Faculty of Information TechnologyThe World Islamic Sciences&Education UniversityJordan Computer Science Department Community CollegeKing Saud UniversitySaudi Arabia Department of Computer Engineering National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic InstituteUkraine

Wireless sensor networks(WSNs)is one of the renowned ad hoc network technology that has vast varieties of applications such as in computer networks,bio-medical engineering,agriculture,industry and many *** has been used in the internet-of-things(IoTs)applications.A method for data collecting utilizing hybrid compressive sensing(CS)is developed in order to reduce the quantity of data transmission in the clustered sensor network and balance the network *** cluster head nodes are chosen first from each temporary cluster that is closest to the cluster centroid of the nodes,and then the cluster heads are selected in order based on the distance between the determined cluster head node and the undetermined candidate cluster head ***,each ordinary node joins the cluster that is nearest to *** greedy CS is used to compress data transmission for nodes whose data transmission volume is greater than the threshold in a data transmission tree with the Sink node as the root node and linking all cluster head *** simulation results demonstrate that when the compression ratio is set to ten,the data transfer volume is reduced by a factor of *** compared to clustering and SPT without CS,it is reduced by 75%and 65%,*** compared to SPT with Hybrid CS and Clustering with hybrid CS,it is reduced by 35%and 20%,*** and SPT without CS are compared in terms of node data transfer volume standard *** with Hybrid CS and clustering with Hybrid CS were both reduced by 62%and 80%,*** compared to SPT with hybrid CS and clustering with hybrid CS,the latter two were reduced by 41%and 19%,respectively.

关键词： Compressed sensing computer networks sensor networks ad hoc networks

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Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第11期16卷 4386-4398页

作者： Arsalan Mahmoodzadeh Abed alanazi Adil Hussein Mohammed Hawkar Hashim Ibrahim Abdullah Alqahtani Shtwai Alsubai Ahmed Babeker Elhag Department of Civil Engineering University of HalabjaHalabjaKurdistan Region46018Iraq Department of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Department of Communication and Computer Engineering Faculty of EngineeringCihan University-ErbilKurdistan RegionIraq Department of Civil Engineering College of EngineeringSalahaddin University-Erbil44002ErbilKurdistan RegionIraq Software Engineering Department College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Department of Civil Engineering College of EngineeringKing Khalid UniversityAbha61413Saudi Arabia

In this study,twelve machine learning(ML)techniques are used to accurately estimate the safety factor of rock slopes(SFRS).The dataset used for developing these models consists of 344 rock slopes from various open-pit mines around Iran,evenly distributed between the training(80%)and testing(20%)*** models are evaluated for accuracy using Janbu's limit equilibrium method(LEM)and commercial tool GeoStudio *** assessment metrics show that the random forest model is the most accurate in estimating the SFRS(MSE=0.0182,R2=0.8319)and shows high agreement with the results from the LEM *** results from the long-short-term memory(LSTM)model are the least accurate(MSE=0.037,R2=0.6618)of all the models ***,only the null space support vector regression(NuSVR)model performs accurately compared to the practice mode by altering the value of one parameter while maintaining the other parameters *** is suggested that this model would be the best one to use to calculate the SFRS.A graphical user interface for the proposed models is developed to further assist in the calculation of the SFRS for engineering *** this study,we attempt to bridge the gap between modern slope stability evaluation techniques and more conventional analysis methods.

关键词： Rock slope stability Open-pit mines Machine learning(ML) Limit equilibrium method(LEM)

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Modelling Intelligent Driving Behaviour Using Machine Learning

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Computers, Materials & Continua 2021年第9期68卷 3061-3077页

作者： Qura-Tul-Ain khan Sagheer Abbas Muhammad Adnan khan Areej Fatima Saad alanazi Nouh Sabri Elmitwally School of Computer Science NCBA&ELahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science College of Computer and Information SciencesJouf UniversitySkakaAljouf72341Saudi Arabia Department of Computer Science Faculty of Computers and Artificial IntelligenceCairo University12613Egypt

In vehicular systems,driving is considered to be the most complex task,involving many aspects of external sensory skills as well as cognitive *** skills include the estimation of distance and speed,time perception,visual and auditory perception,attention,the capability to drive safely and action-reaction *** intelligence works as an internal mechanism that manages and holds the overall driver’s intelligent *** cognitive capacities constitute the frontiers for generating adaptive behaviour for dynamic *** parameters for understanding intelligent behaviour are knowledge,reasoning,decision making,habit and cognitive *** intelligent behaviour reveals that many of these parameters operate simultaneously to enable drivers to react to current *** changes prompt the parameter values to change,a process which continues unless and until all processes are *** paper model intelligent behaviour by using a‘driver behaviour model’to obtain accurate intelligent driving behaviour *** model works on layering patterns in which hierarchy and coherence are maintained to transfer the data with accuracy from one module to *** patterns constitute the outcome of different modules that collaborate to generate appropriate *** this case,accurate patterns were acquired using ANN static and dynamic non-linear autoregressive approach was used and for further accuracy validation,time-series dynamic backpropagation artificial neural network,multilayer perceptron and random sub-space on real-world data were also applied.

关键词： Machine learning artificial neural network ann time series intelligent behaviour agent

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Personality Detection Using Context Based Emotions in Cognitive Agents

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Computers, Materials & Continua 2022年第3期70卷 4947-4964页

作者： Nouh Sabri Elmitwally Asma kanwal Sagheer Abbas Muhammad A.khan Muhammad Adnan khan Munir Ahmad Saad alanazi College of Computer and Information Sciences Jouf UniversitySakaka72341Saudi Arabia Department of Computer Science Faculty of Computers and Artificial IntelligenceCairo University12613Egyp t 3School of Computer Science National College of Business administration and EconomicsLahore54000Pakistan Department of Computer Science GC UniversityLahorePakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13120Korea

Detection of personality using emotions is a research domain in artificial *** present,some agents can keep the human’s profile for interaction and adapts themselves according to their ***,the effective method for interaction is to detect the person’s personality by understanding the emotions and context of the *** idea behind adding personality in cognitive agents begins an attempt to maximize adaptability on the basis of *** our daily life,humans socially interact with each other by analyzing the emotions and context of interaction from audio or visual *** paper presents a conceptual personality model in cognitive agents that can determine personality and behavior based on some text input,using the context subjectivity of the given data and emotions obtained from a particular situation/*** proposed work consists of Jumbo Chatbot,which can chat with *** this social interaction,the chatbot predicts human personality by understanding the emotions and context of interactive ***,the Jumbo chatbot is using the BFI technique to interact with a *** accuracy of proposed work varies and improve through getting more experiences of interaction.

关键词： Emotions fuzzy personality detection contextual analysis semantic analysis

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24-Hour movement behaviours and COVID-19 among children in the kingdom of Saudi Arabia:A repeat cross-sectional study

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Sports Medicine and Health Science 2022年第3期4卷 177-182页

作者： Yazeed A.alanazi Anne-Maree Parrish Anthony D.Okely Early Start and School of Health&Society University of WollongongWollongongNSW2522Australia College of Sport Science and Physical Activity King Saud UniversityRiyadh12372Saudi Arabia Illawarra Health and Medical Research Institute WollongongNSW2522Australia

This study investigated how children's 24-hour(24-h)movement behaviours were affected by SARS-CoV-2(COVID-19)in the kingdom of Saudi *** research examined 24-h movement behaviours in Saudi Arabia seven months after the World Health Organization(WHO)declared COVID-19 a global *** repeat cross-sectional study examined changes in 24-h movement behaviours 12 months after the WHO *** Time 2 survey repeated five months(1 March–15 May 2021)after Time 1 survey(1 October–11 November 2020).The survey was distributed to parents of children aged 6–12 years across Saudi Arabia via an online *** were classified as meeting 24-h movement guidelines if they reported uninterrupted sleep for 9–11 h per night,2 h of recreational sedentary screen time(RST)per day and-60 min of moderate-to vigorous-intensity physical activity(MVPA)per day.A total of 1045 parents from all regions of Saudi Arabia responded(42.4%).Only 1.8%of children met all components of the guidelines,compared to 3.4%in Time *** the present study,girls spent more days per week in MVPA-60 min duration than boys(3.0 vs 2.6;p=0.025),while boys had spent more days per week engaged in activities that strengthened muscle and bone than girls(3.0 vs 2.8;p=0.019).Healthy levels of physical activity(PA),sedentary behaviour(SB)and sleep further declined in Saudi children five months after the Time 1 *** challenges require urgent intervention to ensure children's movement behaviours improve as Saudi Arabia moves out of the COVID-19 pandemic.

关键词： Sleep Sedentary behaviour Physical activity Children COVID-19

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A Template Matching Based Feature Extraction for Activity Recognition

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Computers, Materials & Continua 2022年第7期72卷 611-634页

作者： Muhammad Hameed Siddiqi Helal Alshammari Amjad Ali Madallah Alruwaili Yousef Alhwaiti Saad alanazi M.M.kamruzzaman College of Computer and Information Sciences Jouf UniversitySakakaAljouf2014Kingdom of Saudi Arabia Department of Computer Science COMSATS University IslamabadLahore CampusPakistan

Human activity recognition(HAR)can play a vital role in the monitoring of human activities,particularly for healthcare conscious *** accuracy of HAR systems is completely reliant on the extraction of prominent *** methods find it very challenging to extract optimal features due to the dynamic nature of activities,thereby reducing recognition *** this paper,we propose a robust feature extraction method for HAR systems based on template ***,in this method,we want to associate a template of an activity frame or sub-frame comprising the corresponding *** this regard,the template is placed on the frame pixels to calculate the equivalent number of pixels in the template correspondent those in the *** process is replicated for the whole frame,and the pixel is directed to the optimum *** best count is estimated to be the pixel where the silhouette(provided via the template)presented inside the *** this way,the feature vector is *** feature vector generation,the hiddenMarkovmodel(HMM)has been utilized to label the incoming *** utilized different publicly available standard datasets for *** proposed method achieved the best accuracy against existing state-of-the-art systems.

关键词： Activity recognition feature extraction template matching video surveillance

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Barriers of Asthma Care among Asthmatic Children in Saudi Arabia: Maternal Perspectives

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Open Journal of Pediatrics 2020年第2期10卷 302-313页

作者： Abeer Alatawi Meshaal alanazi Department of Nursing Faculty of Applied Medical Sciences Tabuk University Tabuk Saudi Arabia Department of Emergency Medical Services Saudi Red Crescent Authority Tabuk Saudi Arabia

Background Bronchial asthma is one of the most common chronic conditions among children. Despite the improvement in asthma treatment regimens, its prevalence and related morbidity are increasing, especially among underserved, minority children. There are barriers in the management of asthma, which may impact the quality of outcomes. The goal of this study is to explore these barriers. Methods A cross-sectional study was conducted on interview data collected through 2019 from mothers of children (aged 6 - 12 years) with asthma visiting, for convenience, a public shopping mall. The interviewees were randomly selected, because they met the inclusion criteria. Participants were considered if the mother answered “yes” to the following questions: Has your child had physician-diagnosed asthma? Is your child currently taking asthma medications of asthma? Two community nurses conducted the interviews. Data was obtained using administrative questionnaires. Data were analyzed using SPSS version 21.0 (IBM Inc., Chicago, IL, USA). Descriptive statistics of percentage, mean, frequency and standard deviation were applied for categorical and continuous variables. Results Three hundred mothers participated in this study. Their average age was 36.8 years, 55% were housekeepers by profession, and 34% had obtained less than high school education. The majority of children (61%) were males, 45% had moderate asthma, and 42% had mild asthma. The most frequent types of barriers identified by parents were environmental factors (67.7%), followed by health care providers (63%),

关键词： Barriers to Asthma Care Mothers Children and Saudi Arabia

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Gold Nanoparticles Incorporated with Cyclodextrins and Its Applications

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Journal of Biomaterials and Nanobiotechnology 2021年第4期12卷 79-97页

作者： Fahad alanazi Dina Salah Department of Chemistry College of Science University of Hail Hail Saudi Arabia Biophysics Group Physics Department Ain Shams University Cairo Egypt

Cyclodextrins are naturally oligosaccharides which had cyclic glucopyranoside units even if six units to form α-cyclodextrin (α-CD), seven units β-cyclodextrin (β-CD) or eight units γ-cyclodextrin (γ-CD) and some other derivatives. It has a truncated cone shape with a hydrophobic cavity and a hydrophilic from the external surface of cyclodextrins. Gold nanoparticles incorporated with cyclodextrins enhanced optical and electrical properties of the resulting conjugates, due to the gold nanoparticles’ unique physical and chemical properties because of their surface plasmon resonance. Here is a review of gold nanoparticles/cyclodextrin’s different applications including sensing, antimicrobial effect, and their variable medical/pharmaceutical applications. Generally, gold nanoparticles and cyclodextrin conjugates showed developed and pronounced advantages due to their biocompatibility and enhanced physical and electric properties.

关键词： Gold Nanoparticles Cyclodextrins Sensors Antimicrobe Biomedicine

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Classification of Nonlinear Confusion Component Using Hybrid Multi-Criteria Decision Making

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Intelligent Automation & Soft Computing 2023年第5期36卷 1451-1463页

作者： Nabilah Abughazalah Iqra Ishaque Majid khan Ammar S.alanazi Iqtadar Hussain Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Applied Mathematics and Statistics Institute of Space TechnologyIslamabadPakistan Department of Mathematics King Abdulaziz UniversityFaculty of ScienceJeddahSaudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar Statistical Consulting Unit College of Arts and ScienceQatar UniversityDohaQatar

In today’s digital world,the most inevitable challenge is the protection of digital *** to the weak conﬁdentiality preserving techniques,the existing world is facing several digital information *** make our digital data indecipherable to the unauthorized person,a technique forﬁnding a crypto-graphically strong Substitution box(S-box)have *** S-box with sound cryptographic assets such as nonlinearity(NL),strict avalanche criterion(SAC),bit independence criteria(BIC),bit independence criteria of nonlinearity(BIC-NL),Bit independence criteria of Strict avalanche criteria(BIC-SAC),and Input/output XOR is considered as the robust *** Decision-Making Trial and Evaluation Laboratory(DEMATEL)approach of multi-criteria decision making(MCDM)is proposed forﬁnding the interrelation among cryptographic properties.A combination of two MCDM methods namely Entropy and multi-objective optimization based on ratio analysis(MOORA)is applied for the best S-box selection.A robust substitution box is selected for secure communications in cryptography by using the combination of DEMETAL selection criteria,entro-py weight assigning,and MOORA ranking *** combination of these three methods provides a fast selection procedure for the secure confusion *** offered selection method can also be utilized for the choice of the best cryptosystem with highly secure properties and resistive against all possible linear and differential attacks in the cryptanalysis.

关键词： DEMATEL MCDM MOORA nonlinearity S-box

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