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Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques

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Computer Systems Science & Engineering 2023年第11期47卷 1593-1609页

作者： Okba Taouali Sawcen Bacha Khaoula Ben Abdellafou Ahamed Aljuhani Kamel Zidi Rehab alanazi Mohamed Faouzi Harkat Faculty of Computers and Information Technology University of TabukTabuk71491Saudi Arabia National Engineering School of Monastir University of MonastirMonastir5000Tunisia Applied College University of TabukTabuk71491Saudi Arabia Department of Electronics Faculty of Engineering AnnabaAnnaba23000Algeria

Introducing IoT devices to healthcare fields has made it possible to remotely monitor patients’information and provide a proper diagnosis as needed,resulting in the Internet of Medical Things(IoMT).However,obtaining good security features that ensure the integrity and confidentiality of patient’s information is a significant ***,due to the computational resources being limited,an edge device may struggle to handle heavy detection tasks such as complex machine learning ***,designing and developing a lightweight detection mechanism is *** address the aforementioned challenges,a new lightweight IDS approach is developed to effectively combat a diverse range of cyberattacks in IoMT *** proposed anomaly-based IDS is divided into three steps:pre-processing,feature selection,and *** the pre-processing phase,data cleaning and normalization are *** the feature selection step,the proposed approach uses two data-driven kernel techniques:kernel principal component analysis and kernel partial least square techniques to reduce the dimension of extracted features and to ameliorate the detection ***,in decision step,in order to classify whether the traffic flow is normal or malicious the kernel extreme learning machine is *** check the efficiency of the developed detection scheme,a modern IoMT dataset named WUSTL-EHMS-2020 is considered to evaluate and discuss the achieved *** proposed method achieved 99.9%accuracy,99.8%specificity,100%Sensitivity,99.9 F-score.

关键词： Machine learning data-driven technique KPCA KPLS intrusion detection IoT Internet of Medical Things(IoMT)

Green synthesis,characterization,acaricidal,larvacidal,and repellent activities of copper nanoparticles of Astragalus sinicus against Hyalomma anatolicum

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Asian Pacific Journal of Tropical Biomedicine 2023年第6期13卷 250-257页

作者： Hattan S.Gattan Bassam M.Al-Ahmadi Abdullah F.Shater Qais A.H.Majeed Maha S.Alazemi Abdullah D alanazi Department of Medical Laboratory Sciences Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddahSaudi Arabia Special Infectious Agents UnitKing Fahad Medical Research CenterJeddahSaudi Arabia Department of Biology Faculty of ScienceTaibah UniversitySaudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesUniversity of TabukTabuk 71491Saudi Arabia Department of Science College of Basic EducationPAAETPost code 23167AridiyaKuwait Department of Biological Sciences Faculty of Science and HumanitiesShaqra UniversityP.O.Box 1040Ad-Dawadimi 11911Saudi Arabia

Objective:To green synthesize and characterize copper nanoparticles(Cu NPs)using Astragalus sinicus,as well as evaluate the acaricidal,larvacidal,and repellent activities of Cu NPs against Hyalomma anatolicum(***),one of the most prevalent ticks infesting cattle in Saudi ***:Cu NPs were green synthesized by adding the Astragalus sinicus extract to a copper sulfate *** acaricidal,larvicidal,and repellent activities of Cu NPs against *** were assessed via the adult immersion test,the larval packet test,and the vertical movement behavior of tick larvae,*** effects of Cu NPs on acetylcholinesterase as well as oxidative enzyme activities were ***:The green synthesized Cu NPs displayed a spherical form with a size range of 15-75 *** exposure of adult *** to different concentrations of Cu NPs,the viability rate of adult *** and the mean number,weight,and hatchability of eggs were noticeably reduced,in comparison to the control group(P<0.001).In addition,the viability rate of larvae considerably declined(P<0.001)with the LC_(50)and LC_(90)values of 11.30 and 20.34μg/m L,*** maximum repellent activity of Cu NPs was observed at 50,100,and 200μg/m L with complete repellent activity after 60,120,and 180 min of exposure,*** NPs,mainly at 1/2 LC_(50)and LC_(50)concentrations,markedly suppressed the acetylcholinesterase activity of the larval stage of ***(P<0.001).Moreover,Cu NPs,mainly at LC_(50)dose,significantly elevated malondialdehyde level while declining glutathione-S-transferase level in *** larvae(P<0.001).Conclusions:Cu NPs show potent acaricidal,larvicidal,and repellent activities against adults and larvae of ***,further studies must be performed to clarify the precise mechanisms and the efficacy of Cu NPs in practical use.

关键词： Insecticide Tick Pesticide Astragalus sinicus Nanomedicine Hyalomma anatolicum Acaricidal activity Larvacidal activity

Assessment of tear film parameters post-treatment with commercial eyelid cleaning wipes:a pilot study

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International Journal of Ophthalmology(English edition) 2024年第4期17卷 659-664页

作者： Amal Aldarwesh Ali Almustanyir Raied Fagehi Khalaf Alruways Abdulaziz Bin Turki Mansour Alghamdi Muteb Khalaf alanazi Balsam Alabdulkader Wafa Alotaibi Mosaad Alhassan Department of Optometry College of Applied Medical SciencesKing Saud UniversityRiyadh 11433Saudi Arabia

AIM:To investigate the short-term effects of commercially available eyelid-cleaning wipes on film ***:This study enrolled 48 healthy participants aged 20-35y(both males and females).Clinical assessment included the Ocular Surface Disease Index(OSDI)questionnaire,non-invasive tear break-up time(NITBUT),tear meniscus height(TMH),and lipid layer pattern(LLP).Based on these initial results,participants were categorized as either non-dry eye or dry *** in each group were randomly allocated to either Blephaclean■or Systane■*** in NITBUT,TMH,and LLP levels before and after lid wipe treatment were ***:The dry eye group exhibited significantly higher OSDI scores and lower NITBUT and TMH levels than in the non-dry eye group(P0.05).Similarly,the LLP levels were significantly improved with Systane■(P<0.001)post-treatment compared to individuals in the non-dry eye ***,the dry eye subjects showed higher posttreatment LLP levels than the untreated group(P<0.02).CONCLUSION:The short-term effects of Systane®eyelid wipes on tear film parameters suggest their effectiveness in dry eye ***,further exploration of their long-term impact is essential to justify their cost effectiveness and efficacy in treating both aqueous deficiency and evaporative dryness.

关键词： dry eye lid wipes tear break-up time tear meniscus height

Anticancer,antioxidant,and antimicrobial properties of solvent extract of Lobophora variegata through in vitro and in silico studies with major phytoconstituents

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Food Bioscience 2022年第4期48卷 718-732页

作者： Nithya Palaniappan Balamuralikrishnan Balasubramanian Malaisamy Arunkumar Karthika Pushparaj Kannan R.R.Rengasamy Viji Maluventhen Murugan Pitchai Jowaher alanazi Wen-Chao Liu Arumugam Maruthupandian Ethnopharmacology and Algal Biotechnology Division Department of BotanySchool of Life SciencesPeriyar UniversitySalemTamil Nadu636011India Department of Food Science and Biotechnology College of Life ScienceSejong UniversitySeoul05006South Korea Transcription Regulation International Centre for Genetic Engineering and Biotechnology(ICGEB)New DelhiIndia Department of Zoology School of BiosciencesAvinashilingam Institute for Home Science and Higher Education for WomenCoimbatoreTamil Nadu641043India Centre for Transdisciplinary Research Department of PharmacologySaveetha Dental CollegeSaveetha Institute of Medical and Technical Sciences(SIMATS)ChennaiTamil Nadu600077India Centre of Excellence for Pharmaceutical Sciences North-West UniversityPotchefstroom2520South Africa Department of Botany Thiagarajar CollegeMaduraiTamil Nadu625009India Department of Medicinal Botany Sri Sai Ram Siddha Medical College and Research CentreWest TambaramChennaiTamil Nadu44India Department of Pharmacology and Toxicology College of PharmacyUniversity of HailHailSaudi Arabia College of Coastal Agricultural Sciences Guangdong Ocean UniversityZhanjiang524088PR China

Seaweeds possess a wide range of bioactive compounds which have been play a vital role in production of novel pharmaceutical and nutraceutical products *** present study employed in silico molecular docking to characterize the biomedical potential of brown seaweed Lobophora variegata through antibacterial,antibiofilm,antioxidant and anticancer *** antibacterial activity of *** extracts was analyzed against Escherichia coli,Enterococcus faecalis,Staphylococcus aureus,and Pseudomonas aeruginosa strains producing *** antioxidant activity was assessed using(2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)),superoxide,and hydroxyl radical scavenging ***,the anticancer,antibacterial,and antioxidant activities of the bioactive compounds were evaluated through molecular docking using GLIDE ligand docking module and prime MM-GBSA module in the Schrodinger *** phytochemical analysis of the methanolic extract of *** found more phycocompounds which was confirmed by FT-IR and *** significant level of phenol and flavonoid were expressed in methanolic extract of *** addition,the potent antioxidant activity of the methanolic extract was efficiently expressed during the free radical scavenging assays of ABTS,hydroxyl,and superoxide denoted as 34.94,26.64,and 29.86 mg/g,*** antibacterial and biofilm activities of the methanolic extract of *** had significant ***,the methanolic extract exhibited cytotoxicity against human colon cancer HT-29 cell lines at an inhibitory concentration is 193.65μg/*** the computational analysis,glyceryl monostearate,2-palmitoylglycerol,phthalic acid,2-chloropropyl ethyl ester,phthalic acid,5-methylhex-2-yl ethyl ester,and l-(+)-ascorbic acid 2,6-dihexadecanoate results as top ranked molecules and shown to be a promising compounds,which were evaluated for anticancer,antioxidant,and antibacterial properties against multi-target p

关键词： Brown seaweed Antioxidant Antibacterial Biofilm HT-29 cell line GLIDE docking MM-GBSA

Fabrication and Characterization of Lanthanide-TiO₂ Nanotube Composites

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Open Journal of Physical Chemistry 2023年第2期13卷 13-28页

作者： Khadijah M. Emran Hessah E. alanazi Department of Chemistry College of Science Taibah University Madinah KSA Department of Chemistry College of Science and Art Al Jouf University Qurayyat KSA

Titanium dioxide (TiO2) doped with neodymium (Nd) and/or Gadolinium (Gd) rare-earth elements were fabricated into nanotubes via the hydrothermal method in a KOH solution and in-situ doping. Titanium dioxide nanotubes (TNTs) and in-situ Nd-doped and/or Gd-doped TNTs were characterized with transmission and scanning electron microscopy, energy-dispersive X-ray analysis, X-ray diffraction, Raman spectroscopy, and Fourier-transform infrared spectroscopy. Morphologies indicated a network of aggregated nanotubes. The phase and composition analyses revealed that the lanthanide TNTs had anatase phases with Nd and/or Gd nanoparticles in the TNT lattice. The nanoparticles were uniformly deposited on the surface because of hydroxyl groups on the TNT surfaces, resulting in a very high loading density. The outer diameter and the length of the TNTs increased with doping. The mechanisms for the formation of multiwall TNTs are discussed.

关键词： TiO2 Nanotube Lanthanide Doped Hydrothermal XRD TEM Raman Spectroscopy

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超高压输电塔结构强度与稳定性研究

超高压输电塔结构强度与稳定性研究

作者： alanazi HANI OWAID S 华南理工大学

学位级别：硕士

在2019年,中国提出了“新基建”规划,特高压作为所提的七大建设领域之一,受到了中国政府的特别关注。高压输电塔作为特高压领域中的关键部分,是整个高压电力系统中电能的载体,具有十分重要的地位。输电电压等级的提高直接导致了输电塔... 详细信息

在2019年,中国提出了“新基建”规划,特高压作为所提的七大建设领域之一,受到了中国政府的特别关注。高压输电塔作为特高压领域中的关键部分,是整个高压电力系统中电能的载体,具有十分重要的地位。输电电压等级的提高直接导致了输电塔的高度也随之增加,而现有研究对此缺乏量化分析,这对其耗材、承载能力和优化设计提出了新要求。因此,有必要对高压输电塔的结构与稳定性进行研究,以便适应新型电力系统的大容量电量运送需求。本文的主要研究内容和创新如下:依据高压输电塔输电线的构造原理,对输电塔塔架、输电线和绝缘子串进行造型,建立了在自重和水平张力作用下的塔-线初始状态模型及其动力特性。在此基础上,选用梁单元模拟塔架、受拉力单元模拟输电线和刚性杆模拟绝缘子串,通过有限元软件Midas Gen建立有限元模型,进而对输电塔和输电线进行动力特性模拟。以高压输电塔的空间桁架模型、空间刚架模型和空间梁桁组合模型为对象,基于弹塑性增量法和弹性模量缩减法对超高压输电塔结构的极限承载能力和失效模式进行了分析,进而对比上述三种超高压输电塔模型的差异。算例分析表明鼓型输电塔的空间刚架模型和空间梁桁组合模型都能反映出铁塔结构的延性破坏性质,而梁桁组合模型的极限承载力计算结果偏于安全。提出了高压输电塔的结构优化模型和超高压输电塔的塔座优化模型,并通过Python调用商业求解软件CPLEX对模型进行了求解。其中,高压输电塔的结构优化模型以结构总重量最小为目标,计及了杆单元轴心受力的强度约束、杆单元轴心受压的稳定约束,以10杆桁架结构为算例分析对象,有效验证了模型的有效性;高压输电塔的支座优化模型以输电塔腿的总重量最小为目标,计及了应力约束、稳定约束、杆件单元细长比约束、节点位移约束和角度约束等,以酒杯型直线塔为算例分析对象,有效验证了模型的有效性。

关键词：高压输电塔有限元模型动力特性分析极限承载力失效模式结构优化支座优化

Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage

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Computers, Materials & Continua 2022年第7期72卷 775-796页

作者： Zeyad Ghaleb Al-Mekhlafi Ebrahim Mohammed Senan Taha H.Rassem Badiea Abdulkarem Mohammed Nasrin M.Makbol Adwan Alownie alanazi Tariq S.Almurayziq Fuad A.Ghaleb Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia Department of Computer Science&Information Technology Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad431004India Faculty of Science and Technology Bournemouth UniversityPooleBH125BBUK Department of Computer Engineering College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia College of Computer Science and Engineering Hodeidah UniversityHodeidah966Yemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor BahruJohor81310Malaysia

Stroke and cerebral haemorrhage are the second leading causes of death in the world after ischaemic heart *** this work,a dataset containing medical,physiological and environmental tests for stroke was used to evaluate the efficacy of machine learning,deep learning and a hybrid technique between deep learning and machine learning on theMagnetic Resonance Imaging(MRI)dataset for cerebral *** the first dataset(medical records),two features,namely,diabetes and obesity,were created on the basis of the values of the corresponding *** t-Distributed Stochastic Neighbour Embedding algorithm was applied to represent the high-dimensional dataset in a low-dimensional data ***,the Recursive Feature Elimination algorithm(RFE)was applied to rank the features according to priority and their correlation to the target feature and to remove the unimportant *** features are fed into the various classification algorithms,namely,Support Vector Machine(SVM),K Nearest Neighbours(KNN),Decision Tree,Random Forest,and Multilayer *** algorithms achieved superior *** Random Forest algorithm achieved the best performance amongst the algorithms;it reached an overall accuracy of 99%.This algorithm classified stroke cases with Precision,Recall and F1 score of 98%,100%and 99%,*** the second dataset,the MRI image dataset was evaluated by using the AlexNet model and AlexNet+SVM hybrid *** hybrid model AlexNet+SVM performed is better than the AlexNet model;it reached accuracy,sensitivity,specificity and Area Under the Curve(AUC)of 99.9%,100%,99.80%and 99.86%,respectively.

关键词： Stroke cerebral haemorrhage deep learning machine learning t-SNE and RFE algorithms

A Hybrid Machine Learning Framework for Security Intrusion Detection

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Computer Systems Science & Engineering 2024年第3期48卷 835-851页

作者： Fatimah Mudhhi alanazi Bothina Abdelmeneem Elsobky Shaimaa Aly Elmorsy Mathematics and Computer Science Department Faculty of ScienceAlexandria UniversityAlexandriaEgypt

Proliferation of technology,coupled with networking growth,has catapulted cybersecurity to the forefront of modern security *** this landscape,the precise detection of cyberattacks and anomalies within networks is crucial,necessitating the development of efficient intrusion detection systems(IDS).This article introduces a framework utilizing the fusion of fuzzy sets with support vector machines(SVM),named *** core strategy of FSVM lies in calculating the significance of network features to determine their relative *** with minimal significance are prudently disregarded,a method akin to feature *** process not only curtails the computational burden of the classification algorithm but also ensures the preservation of high accuracy *** ascertain the efficacy of the FSVM model,we have employed a publicly available dataset from Kaggle,which encompasses two distinct decision *** evaluation methodology involves a comprehensive comparison of the classification accuracy of the processed dataset against four contemporary models in the *** performance metrics scores are meticulously calculated for each *** comparative analysis reveals that the FSVM model demonstrates a marked superiority over its counterparts,enhancing classification accuracy by a minimum of 3%.These findings underscore the FSVM model’s robustness and reliability,positioning it as a highly effective tool in the realm of cybersecurity.

关键词： Cybersecurity fuzzy sets classification internet of things

Screening for variants in the <i>MUTYH</i>gene in Saudis

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Open Journal of Genetics 2011年第3期1卷 70-77页

作者： Jameela Shinwari Abdulla Alamri Mohammad alanazi Nada Al Tassan 不详

MUTYH is a base excision repair glycosylase responsible for correcting the G:A mismatches that arise from replication of a damaged DNA, such impairment results from attacks by reactive oxygen species that are produced from different sources including cigarette smoking. The produced reactive oxygen species trigger the oxidation of guanine in to 8-oxo-G and the latter mispairs with adenine. Alterations in the MUTYH gene can affect its glycosylase function and hence the DNA repair capacity that is tightly linked to cancer development. Defects in the MUTYH were found to be associated with predisposition to colorectal cancer;the third most common cancer in the world. Although some studies suggested the existence of an ethnic differentiation among MUTYH mutations, there are no documented reports regarding this gene in Saudi cases or controls so far. 153 healthy Saudi individuals including smokers were screened for the IVS1 + 5 G/C, V22M, Y165C, R231C, H324Q and G382D MUTYH variants using either ARMS or RFLP or direct sequencing. Allelic frequencies were calculated and were found to be as follows: IVS1 + 5 G/C = 1/0, V22M = 0.99/0.01, Y165C = 1/0, R231C = 1/0, H324Q = 0.29/0.71 and G382D = 0.997/0.003. Comparison of the allele frequencies between Saudis and other populations revealed a significant difference between the Saudis and Europeans for the V22M (p-value: 0.0003, OR: 5.899, 95% CI: 1.999 - 17.408);and between the Saudis and Asians for the H324Q (p-value: MUTYH variants in Saudi populations and support the existence of an ethnic difference between MUTYH variants which is beneficial as some MUTYH common polymorphisms in certain populations may correlate with disease predisposition in other rare populations.

关键词： MUTYH Allele Frequencies Single Nucleotide Polymorphism Mutations Colorectal Cancer