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Estimating Security Risk of Healthcare Web Applications: A Design Perspective

Computers, Materials & Continua 2021年第4期67卷 187-209页

作者： fahad A.Alzahrani Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia

In the recent years,the booming web-based applications have attracted the hackers’*** security risk of the web-based hospital management system(WBHMS)has been increasing *** the given context,the main goal of all security professionals and website developers is to maintain security divisions and improve on the user’s confidence and *** this point,the different WBHMS tackle different types of security *** WBHMS,the security of the patients’medical information is of utmost *** in all,there is an inherent security risk of data and assets in the field of the medical industry as a *** objective of this study is to estimate the security risk assessment of *** risks assessment pertains to securing the integrity of the information in alignment with the Health Insurance Portability and Accountability *** includes protecting the relevant financial records,as well as the identification,evaluation,and prevention of a data *** the past few years,according to the US-based cyber-security firm Fire-eye,6.8 million data thefts have been recorded in the healthcare sector in *** breach barometer report mentions that in the year 2019,the data breaches found were up to 48.6%as compared to the year ***,it is very important to assess the security risk in *** this research,we have followed the hybrid technique fuzzy analytic hierarchy process-technique for order of preference by similarity to ideal solution(F-AHPTOPSIS)approach to assess the security risk in *** place of this empirical database is at the local hospital of Varanasi,U.P.,*** the affectability of WBHMS for its board framework,this work has used diverse types of web *** outcomes obtained and the procedure used in this assessment would support future researchers and specialists in organizing web applications through advanced support of safety and security.

关键词： Web based hospital management system security risk fuzzy AHP fuzzy TOPSIS

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Network Intrusion Detection Model Using Fused Machine Learning Technique

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Computers, Materials & Continua 2023年第5期75卷 2479-2490页

作者： fahad Mazaed Alotaibi Faculty of Computing and Information Technology in Rabigh(FCITR) King Abdulaziz UniversityJeddahSaudi Arabia

With the progress of advanced technology in the industrial revolution encompassing the Internet of Things(IoT)and cloud computing,cyberattacks have been increasing rapidly on a large *** rapid expansion of IoT and networks in many forms generates massive volumes of data,which are vulnerable to security *** a result,cyberattacks have become a prevalent and danger to society,including its infrastructures,economy,and citizens’privacy,and pose a national security risk ***,cyber security has become an increasingly important issue across all levels and *** progress is being made in developing more sophisticated and efficient intrusion detection and defensive *** the scale of complexity of the cyber-universe is increasing,advanced machine learning methods are the most appropriate solutions for predicting cyber *** this study,a fused machine learning-based intelligent model is proposed to detect intrusion in the early stage and thus secure networks from harmful *** results confirm the effectiveness of the proposed intrusion detection model,with 0.909 accuracy and a miss rate of 0.091.

关键词： Cyberattack machine learning prediction solution intrusion detection

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Optimal Hybrid Deep Learning Enabled Attack Detection and Classificationin IoT Environment

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Computers, Materials & Continua 2023年第4期75卷 99-115页

作者： fahad F.alruwaili College of Computing and Information Technology Shaqra UniversitySharqaSaudi Arabia

The Internet of Things (IoT) paradigm enables end users to accessnetworking services amongst diverse kinds of electronic devices. IoT securitymechanism is a technology that concentrates on safeguarding the devicesand networks connected in the IoT environment. In recent years, False DataInjection Attacks (FDIAs) have gained considerable interest in the IoT *** compromise the devices connected to the networkand inject the data. Such attacks on the IoT environment can result in a considerableloss and interrupt normal activities among the IoT network *** FDI attacks have been effectively overcome so far by conventional threatdetection techniques. The current research article develops a Hybrid DeepLearning to Combat Sophisticated False Data Injection Attacks detection(HDL-FDIAD) for the IoT environment. The presented HDL-FDIAD modelmajorly recognizes the presence of FDI attacks in the IoT *** HDL-FDIAD model exploits the Equilibrium Optimizer-based FeatureSelection (EO-FS) technique to select the optimal subset of the ***, the Long Short Term Memory with Recurrent Neural Network(LSTM-RNN) model is also utilized for the purpose of classification. At last,the Bayesian Optimization (BO) algorithm is employed as a hyperparameteroptimizer in this study. To validate the enhanced performance of the HDLFDIADmodel, a wide range of simulations was conducted, and the resultswere investigated in detail. A comparative study was conducted between theproposed model and the existing models. The outcomes revealed that theproposed HDL-FDIAD model is superior to other models.

关键词： False data injection attacks hyperparameter optimizer deep learning feature selection IoT security

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Artificial Intelligence Based Threat Detection in Industrial Internet of Things Environment

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Computers, Materials & Continua 2022年第12期73卷 5809-5824页

作者： fahad F.alruwaili College of Computing and Information Technology Shaqra UniversitySharqaSaudi Arabia

Internet of Things(IoT)is one of the hottest research topics in recent years,thanks to its dynamic working mechanism that integrates physical and digital world into a single *** technology,applied in industries,is termed as Industrial IoT(IIoT).IIoT has been found to be highly susceptible to attacks from adversaries,based on the difficulties observed in IIoT and its increased dependency upon internet and communication *** or accidental attacks on these approaches result in catastrophic effects like power outage,denial of vital health services,disruption to civil service,etc.,Thus,there is a need exists to develop a vibrant and powerful for identification and mitigation of security vulnerabilities in *** this view,the current study develops an AI-based Threat Detection and Classification model for IIoT,abbreviated as AITDC-IIoT *** presented AITDC-IIoT model initially pre-processes the input data to transform it into a compatible *** addition,WhaleOptimizationAlgorithm based Feature Selection(WOA-FS)is used to elect the subset of ***,Cockroach Swarm Optimization(CSO)is employed with Random Vector Functional Link network(RVFL)technique for threat ***,CSO algorithm is applied to appropriately adjust the parameters related to RVFL *** performance of the proposed AITDC-IIoT model was validated under benchmark *** experimental results established the supremacy of the proposed AITDC-IIoT model over recent approaches.

关键词： Security industrial internet of things threat detection artificial intelligence feature selection

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A Novel Method for Routing Optimization in Software-Defined Networks

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Computers, Materials & Continua 2022年第12期73卷 6393-6405页

作者： Salem Alkhalaf fahad Alturise Department of Computer College of Science and Arts in ArRass Qassim UniversityAr RassQassimSaudi Arabia

Software-defined network(SDN)is a new form of network architecture that has programmability,ease of use,centralized control,and protocol *** has received high attention since its *** SDN network architecture,network management becomes more efficient,and programmable interfaces make network operations more flexible and can meet the different needs of various *** mainstream communication protocol of SDN is OpenFlow,which contains aMatch Field in the flow table structure of the protocol,which matches the content of the packet header of the data received by the switch,and completes the corresponding actions according to the matching results,getting rid of the dependence on the protocol to avoid designing a new *** order to effectively optimize the routing forSDN,this paper proposes a novel algorithm based on reinforcement *** proposed technique canmaximize numerous objectives to dynamically update the routing strategy,and it has great generality and is not reliant on any specific network *** control of routing strategy is more complicated than many Q-learning-based algorithms due to the employment of reinforcement *** performance of the method is tested by experiments using the OMNe++*** experimental results reveal that our PPO-based SDN routing control method has superior performance and stability than existing algorithms.

关键词： Reinforcement learning routing algorithm software-defined network optimization

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Emerging trends of electrocatalytic technologies for renewable hydrogen energy from seawater:Recent advances,challenges,and techno-feasible assessment

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Journal of Energy Chemistry 2023年第5期80卷 658-688,I0014页

作者： Obaid fahad Aldosari Ijaz Hussain Zuhair Malaibari Department of Chemistry College of ScienceMajmaah UniversityP.O.Box 66Majmaah 11952Saudi Arabia Center for Refining&Advanced Chemicals King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia Department of Chemical Engineering King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia

Hydrogen has been regarded as a promising renewable and green energy source to meet energy needs and attain net-zero carbon *** electrolysis of seawater to make hydrogen is one of the fascinating developments of the twenty-first *** method uses abundant and relatively inexpensive seawater,as opposed to freshwater,which is rare and can be prohibitively *** recent years,significant research and advancements have been made in direct seawater electrolysis technology for hydrogen ***,producing highly effective and efficient electrocatalysts with long-term viability under harsh corrosive conditions remains a challenging and severe topic for large-scale seawater electrolysis *** is still a large accomplishment gap in understanding how to improve seawater electrolysis to increase hydrogen yields and prolong *** is,therefore,crucial to have a condensed knowledge of the tunable and inherent interactions between various electrocatalysts,covering electrolyzer types and paying particular attention to those with high efficiency,chemical stability,and *** extensive discussion is structured into a progression from noble metals to base metal compounds such as oxides,alloys,phosphides,chalcogenides,hydroxides,and nitrides,MXene-based complexes with a concise examination of hybrid *** addition,proton exchange membranes,anion exchange membranes,alkaline water electrolyzers,and high-temperature water electrolyzers were potential contributors to seawater’s *** extensive assessment of the techno-feasibility,economic insights,and future suggestions was done to commercialize the most efficient electrocatalytic systems for hydrogen *** review is anticipated to provide academics,environmentalists,and industrial researchers with valuable ideas for constructing and modifying seawater-based electrocatalysts.

关键词： Seawater splitting Hydrogen production Electrolysis Electrocatalysts Electrolyzers Techno-feasible analysis Review

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A multi-delay model for pest control with awareness induced interventions — Hopf bifurcation and optimal control analysis

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International Journal of Biomathematics 2020年第6期13卷 113-134页

作者： fahad Al Basir Department of Mathematics A sansol Girls'College A sansol-713304West BengalIndia

Farming awareness is an important measure for pest controlling in agricultural *** delay in controlling pest may affect the *** delay occurs in organizing awareness campaigns,also time delay may takes place in becoming aware of the control strategies or implementing suitable controlling methods informed through social *** we have derived a mathematical model incorporating two time delays into the system and Holling type-II functional *** existence and the stability criteria of the equilibria are obtained in terms of the basic reproduction number and time *** changes occur through Hopf-bifurcation when time delays cross the critical *** control theory has been applied for cost-effectiveness of the delayed *** simulations are carried out to justify the analytical *** study shows that optimal farming awareness through radio,TV *** control the delay induced bifurcation in a cost-effective way.

关键词： Mathematical model Holling type-II functional response delay differential equation(DDE) basic reproduction number Hopf bifurcation optimal control

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Dynamical interactions between higher-order rogue waves and various forms ofn-soliton solutions(n→∞)of the(2+1)-dimensional ANNV equation

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Chinese Physics B 2020年第11期29卷 391-397页

作者： Md Fazlul Hoque Harun-Or-Roshid fahad Sameer Alshammari Department of Mathematics Pabna University of Science and TechnologyPabna 6600Bangladesh Department of Mathematics College of Science at AlkharjPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

We present new lemmas,theorem and corollaries to construct interactions among higher-order rogue waves,n-periodic waves and n-solitons solutions(n→∞)to the(2+1)-dimensional asymmetric Nizhnik-Novikov-Veselov(ANNV)*** examples for theories are given by choosing definite interactions of the wave solutions for the *** particular,we exhibit dynamical interactions between a rogue and a cross bright-dark bell wave,a rogue and a cross-bright bell wave,a rogue and a one-,two-,three-,four-periodic *** addition,we also present multi-types interactions between a rogue and a periodic cross-bright bell wave,a rogue and a periodic cross-bright-bark bell ***,we physically explain such interaction solutions of the model in the 3D and density plots.

关键词： the(2+1)-dimensional asymmetric Nizhnik-Novikov-Veselov(ANNV)equation higher-order rogue waves n-solitons periodic waves bright-dark bell waves

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Fruits and Vegetables Freshness Categorization Using Deep Learning

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Computers, Materials & Continua 2022年第6期71卷 5083-5098页

作者： Labiba Gillani fahad Syed fahad Tahir Usama Rasheed Hafsa Saqib Mehdi Hassan Hani Alquhayz Department of Computer Science National University of Computer and Emerging SciencesIslamabad44000Pakistan Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Kingdom of Saudi Arabia

The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness *** existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten *** propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories:purefresh,medium-fresh,and *** gathered a dataset comprising of 60K images of 11 fruits and vegetables,each is further divided into three categories of freshness,using hand-held *** recognition and categorization of fruits and vegetables are performed through two deep learning models:Visual Geometry Group(VGG-16)and You Only Look Once(YOLO),and their results are ***-16 classifies fruits and vegetables and categorizes their freshness,while YOLO also localizes them within the ***,we have developed an android based application that takes the image of the fruit or vegetable as input and returns its class label and its freshness degree.A comprehensive experimental evaluation of proposed approach demonstrates that the proposed approach can achieve a high accuracy and F1score on gathered FruitVeg Freshness *** dataset is publicly available for further evaluation by the research community.

关键词： Fruits and vegetables classification degree of freshness deep learning object detection model VGG-16 YOLO-v5

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Laboratory to field scale assessment for EOR applicability in tight oil reservoirs

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Petroleum Science 2022年第5期19卷 2131-2149页

作者： fahad Iqbal Syed Amirmasoud Kalantari Dahaghi Temoor Muther Center for Net Carbon Zero GeoEnergy Intelligence and Sustainability(C0GEiS) USA The University of Kansas School of EngineeringChemical and Petroleum Engineering1450 Jayhawk Blvd.LawrenceKS66045USA

Tight oil reservoirs are contributing a major role to fulfill the overall crude oil needs,especially in the ***,the dilemma is their ultra-tight permeability and an uneconomically short-lived primary recovery ***,the application of EOR in the early reservoir development phase is considered effective for fast-paced and economical tight oil *** achieve these objectives,it is imperative to determine the optimum EOR potential and the best-suited EOR application for every individual tight oil reservoir to maximize its ultimate recovery *** most of the tight oil reservoirs are found in wide spatial source rock with complex and compacted pores and poor geophysical properties yet they hold high saturation of good quality oil and therefore,every single percent increase in oil recovery from such huge reservoirs potentially provide an additional million barrels of ***,the EOR application in such reservoirs is quite ***,the physical understanding of EOR applications in different circumstances from laboratory to field scale is the key to success and similarly,the fundamental physical concepts of fluid flow-dynamics under confinement conditions play an important *** paper presents a detailed discussion on laboratory-based experimental achievements at micro-scale including fundamental concepts under confinement environment,physics-based numerical studies,and recent actual field piloting experiences based on the *** *** objective of this paper is to discuss all the critical reservoir rock and fluid properties and their contribution to reservoir development through massive multi-staged hydraulic fracture networks and the EOR *** the CO_(2)and produced hydrocarbon gas injection through single well-based huff-n-puff operational constraints are discussed in detail both at micro and macro scale.

关键词： UEOR UEOR pilots Shale oil Tight oil reservoir Gas injection Hydraulic fracture Huff-n-puff

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