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Novel Framework for an Intrusion Detection System Using Multiple Feature Selection Methods Based on Deep Learning

Tsinghua Science and Technology 2024年第4期29卷 948-958页

作者： A.E.M.Eljialy mohammed yousuf uddin Sultan Ahmad Department of Information Systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDS in software-defined networks is an inevitable component of network security. The main challenges of such an IDS are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDSs in IoT networks unfeasible. Machine learning (ML) techniques are extensively applied to build robust IDSs. Many researchers have utilized different ML methods and techniques to address the above challenges. The development of an efficient IDS starts with a good feature selection process to avoid overfitting the ML model. This work proposes a multiple feature selection process followed by classification. In this study, the Software-defined networking (SDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. Multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

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Securing Consumer Internet of Things for Botnet Attacks: Deep Learning Approach

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Computers, Materials & Continua 2022年第11期73卷 3199-3217页

作者： Tariq Ahamed Ahanger Abdulaziz Aldaej mohammed Atiquzzaman Imdad Ullah mohammed yousuf uddin College of Computer Engineering and Science Prince Sattam bin Abdulaziz University Al-Kharj11942Saudi Arabia School of Computer Science University of Oklahoma Norman73019-6151United States

DDoS attacks in the Internet of Things(IoT)technology have increased significantly due to its spread adoption in different industrial *** purpose of the current research is to propose a novel technique for detecting botnet attacks in user-oriented IoT ***,an attack identification technique inspired by Recurrent Neural networks and Bidirectional Long Short Term Memory(BLRNN)is presented using a unique Deep Learning(DL)*** text identification and translation of attack data segments into tokenized form,word embedding is *** performance analysis of the presented technique is performed in comparison to the state-of-the-art DL ***,Accuracy(98.4%),Specificity(98.7%),Sensitivity(99.0%),F-measure(99.0%)and Data loss(92.36%)of the presented BLRNN detection model are determined for identifying 4 attacks over Botnet(Mirai).The results show that,although adding cost to each epoch and increasing computation delay,the bidirectional strategy is more superior technique model over different data instances.

关键词： Internet of Things deep learning security DDoS attack botnet

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Secure Dengue Epidemic Prediction System: Healthcare Perspective

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Computers, Materials & Continua 2022年第10期73卷 1723-1745页

作者： Abdulaziz Aldaej Tariq Ahamed Ahanger mohammed yousuf uddin Imdad Ullah College of Computer Engineering and Science Prince Sattam bin Abdulaziz University Al-Kharj11942Saudi Arabia

Viral diseases transmitted by mosquitoes are emerging public health problems across the *** is considered to be the most significant mosquito-oriented ***,the present study provides an effective architecture for Dengue Virus Infection *** proposed system involves a 4-level architecture for the prediction and prevention of dengue infection *** architectural levels including Dengue Information Acquisition level,Dengue Information Classification level,DengueMining and Extraction level,and Dengue-Prediction and Decision Modeling level enable an individual to periodically monitor his/her probabilistic dengue fever *** prediction process is carried out so that proactive measures are taken *** predictive purposes,probabilistic analysis in terms of Level of Dengue Fever(LoDF)was carried out using the Adaptive NeuroFuzzy Inference *** on the Self-Organized Mapping procedure,the presence of LoDF is *** simulations on datasets of 16 individuals cumulating to 32,255 instances were conducted to test the effectiveness of the presented *** comparison to other decision-modeling methods,significantly improved results in form of classification efficacy,a temporal delay,prediction effectiveness,reliability,and stability were reported for the presented model.

关键词： Internet of things smart air real-time healthcare adaptive neuro-fuzzy inference system

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Effect of medicinal plants on Moraxella cattarhalis

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Asian Pacific Journal of Tropical Medicine 2011年第2期4卷 133-136页

作者： mohammed uddin Rasheed Thajuddin N Department of Medical Microbiology Haramaya UniversityHararEthiopia Department of Microbiology Bharathidasan UniversityTiruchirappalli-620 024TamilnaduIndia

Objective:To determine the antimoraxella activity of Ethiopian medicinal plants extracts. Methods:Two clinical isolates of Moraxella cattarhalis(***) with different antibiotic sensitivity pattern were tested to determine their susceptibility to garlic[Allium sativum(A. sativum)],bark of cinnamon[Cinnamomum zeylanicum(***)],clove[Syzygium aromaticum(***)],and leaves of avocado[Persea americana(***)], rosemary[Rosmarinus of ficinalis(*** ficinalis)]and prickly poppy[Argemone mexicana(A. mexicana)].Disk diffusion assay and broth dilution method were used to measure zone of inhibition,minimum inhibitory concentration(MIC) and minimum bactericidal concentration (MBC) of plant extracts against ***:Both the strains of *** exhibited similar sensitivities to the extracts of medicinal *** activity was exhibited only by garlic,avocado leaves and *** was found to be more antagonistic to *** than cinnamon and *** and avocado leaves have shown similar MIC(30 mg/mL) where as their zone of inhibition(15 and 11 mm,respectively) were different. Conclusions:Garlic,cinnamon and avocado leaves extracts represents alternative source of natural antimicrobial substances for use in clinical practice for the treatment of cases of M. *** research on the effects of these extracts on *** can be rewarding to pursue in the search for new broad spectrum antimicrobial agents.

关键词： Moraxella cattarhalis Minimum inhibitory concentration Minimum bactericidal concentration

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Chloride ingress and macro-cell corrosion of steel in concrete made with recycled brick aggregate

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Frontiers of Structural and Civil Engineering 2021年第6期15卷 1358-1371页

作者： Tarek uddin mohammed Mahfuzur RAHMAN Ahmed SABBIR Mohammad Mehedi HASAN Abdullah Al MAMUN Department of Civil and Environmental Engineering Islamic University of TechnologyBoard BazarGazipur 1704Bangladesh Department of Civil Engineering University of Information Technology and SciencesBaridharaDhaka 1202Bangladesh Bangladesh Road Research Laboratory Roads and Highways DepartmentMirpurDhaka 1216Bangladesh

An investigation on chloride ingress and macro-cell corrosion of steel bars in concrete made with recycled brick aggregate(RBA)was carried *** control cases,virgin brick aggregate(BA)and stone aggregate(SA)were also *** cylindrical and cracked prism specimens were studied for 16 different *** prism specimens were made with a segmented steel bar providing electrical connection from outside of the specimens to measure macro-cell corrosion current continuously under seawater splash exposure for a period of 30 d using a data *** specimens were submerged in 3%NaCl solution at a temperature of 40℃ to investigate chloride ingress in concrete made with RBA,BA,and SA after 120 and 180 ***-cell potential,corrosion area,and depths of corrosion were also *** chloride ingress as well as corrosion of steel bars in concrete made with the different types of aggregate is ordered as RBA>BA>SA.

关键词： brick aggregate chloride ingress macro-cell corrosion recycled brick aggregate

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Integrated water vapor during active and break spells of monsoon and its relationship with temperature,precipitation and precipitation efficiency over a tropical site

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Geodesy and Geodynamics 2022年第3期13卷 238-246页

作者： Nirmala Bai Jadala Miriyala Sridhar Gopa Dutta mohammed yousuf Y.K.Reddy Department of ECE Koneru Lakshmaiah Education FoundationVaddeswaramGuntur Dt522502A.PIndia Vignana Bharathi Institute of Technology GhatkesarMedchal DtTelangana501301India India Meteorological Department HyderabadTelangana500016India

Global Positioning System(GPS)measurements of integrated water vapor(IWV)for two years(2014 and 2015)are presented in this *** of IWV during active and break spells of Indian summer monsoon has been studied for a tropical station Hyderabad(17.4°N,78.46°E).The data is validated with ECMWF Re-Analysis(ERA)91 level *** of IWV with other atmospheric variables like surface temperature,rain,and precipitation efficiency have been established through cross-correlation studies.A positive correlation coefficient is observed between IWV and surface temperature over two *** the coefficient becomes negative when only summer monsoon months(June,July,August,and September)are *** during these months cools down the surface and could be the reason for this change in the correlation *** studies between IWV-precipitation,IWVprecipitation efficiency(P.E),and precipitation-P.E show that coefficients are-0.05,-0.10 and 0.983 with 95%confidence level respectively,which proves that the efficacy of rain does not depend only on the level of water vapor.A proper dynamic mechanism is necessary to convert water vapor into the *** diurnal variations of IWV during active and break spells have been *** amplitudes of diurnal oscillation and its harmonics of individual spell do not show clear trends but the mean amplitudes of the break spells are approximately double than those of the active *** amplitudes of diurnal,semidiurnal and ter-diurnal components during break spells are 1.08 kg/m^(2),0.52 kg/m;and 0.34 kg/m;*** corresponding amplitudes during active spells are 0.68 kg/m^(2),0.41 kg/m;and 0.23 kg/m;.

关键词： Precipitation efficiency Diurnal oscillation Integrated water vapor Tropical site Break spells of monsoon Active spells of monsoon

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Unveiling the impact:COVID-19's influence on bacterial resistance in the Kingdom of Bahrain

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World Journal of Virology 2025年第1期14卷 83-98页

作者： Nermin K Saeed Safiya K Almusawi Noor A Albalooshi mohammed Al-Beltagi Medical Microbiology Section Department of PathologySalmaniya Medical ComplexGovernmental HospitalsManama 12Bahrain Medical Microbiology Section Department of PathologyRoyal College of Surgeons in Ireland-Medical University of BahrainBusaiteen 15503MuharraqBahrain Department of Paediatrics Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671AlgharbiaBahrain

BACKGROUND Antibiotic resistance is a growing global health threat,and understanding local trends in bacterial isolates and their susceptibility patterns is crucial for effective infection control and antimicrobial *** coronavirus disease 2019(COVID-19)pandemic has introduced additional complexities,potentially influencing these *** To analyze trends in bacterial isolates and their antibiotic susceptibility patterns at Salmaniya Medical Complex from 2018 to 2023,with a specific focus on the impact of the COVID-19 pandemic on these *** A retrospective analysis of microbiological data was conducted,covering the period from 2018 to *** study included key bacterial pathogens such as Escherichia coli(***),Klebsiella pneumoniae,Acinetobacter baumannii,Pseudomonas aeruginosa,and Staphylococcus aureus,among *** antibiotic susceptibility profiles of these isolates were assessed using standard laboratory *** contextualize the findings,the findings were compared with similar studies from other regions,including China,India,Romania,Saudi Arabia,the United Arab Emirates,Malaysia,and United *** The study revealed fluctuating trends in the prevalence of bacterial isolates,with notable changes during the COVID-19 *** example,a significant increase in the prevalence of Staphylococcus aureus was observed during the pandemic years,while the prevalence of *** showed a more variable *** resistance rates varied among the different pathogens,with a concerning rise in resistance to commonly used antibiotics,particularly among Klebsiella pneumoniae and ***,the study identified an alarming increase in the prevalence of multidrug-resistant(MDR)strains,especially within Klebsiella pneumoniae and *** *** impact of the COVID-19 pandemic on these trends was evident,with shifts in the frequency,resistance patterns,and the emergence of MDR bacteria among several key ***

关键词： Multidrug-resistant organisms Antibiotic susceptibility COVID-19 pandemic Antimicrobial stewardship Bacterial isolates Salmaniya Medical Complex Bahrain

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Destructive and non-destructive evaluation of concrete for optimum sand to aggregate volume ratio

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Frontiers of Structural and Civil Engineering 2021年第6期15卷 1400-1414页

作者： Tarek uddin mohammed Aziz Hasan MAHMOOD Mohammad Zunaied-Bin-HARUN Jamil Ahmed JOY MdAsif AHMED Department of Civil and Environmental Engineering Islamic University of Technology(IUT)Organization of Islamic Cooperation(OIC)Board BazarGazipur 1704Bangladesh Centre for Infrastructure Engineering and Safety School of Civil and Environmental EngineeringThe University of New South WalesSydneyNSW 2052Australia Department of Civil Engineering European University of BangladeshMirpurDhaka 1216Bangladesh

Aggregates are the biggest contributor to concrete volume and are a crucial parameter in dictating its mechanical *** such,a detailed experimental investigation was carried out to evaluate the effect of sand-toaggregate volume ratio(s/a)on the mechanical properties of concrete utilizing both destructive and non-destructive testing(employing UPV(ultrasonic pulse velocity)measurements).For investigation,standard cylindrical concrete samples were made with different s/a(0.36,0.40,0.44,0.48,0.52,and 0.56),cement content(340 and 450 kg/m^(3)),water-to-cement ratio(0.45 and 0.50),and maximum aggregate size(12 and 19 mm).The effect of these design parameters on the 7,14,and 28 d compressive strength,tensile strength,elastic modulus,and UPV of concrete were *** careful analysis demonstrates that aggregate proportions and size need to be optimized for formulating mix designs;optimum ratios of s/a were found to be 0.40 and 0.44 for the maximum aggregate size of 12 and 19 mm,respectively,irrespective of the W/C(water-to-cement)and cement content.

关键词： aggregates non-destructive testing sand-to-aggregate volume ratio(s/a) maximum aggregate size(MAS)

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Meta‐analysis and candidate gene mining of low‐phosphorus tolerance in maize

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Journal of Integrative Plant Biology 2014年第3期56卷 262-270页

作者： Hongwei Zhang mohammed Shalim uddin Cheng Zou Chuanxiao Xie Yunbi Xu Wen‐Xue Li Institute of Crop Science National Key Facility of Crop Gene Resources and Genetic Improvement the Chinese Academy of Agricultural Sciences Bangladesh Agricultural Research Institute (BARI) International Maize and Wheat Improvement Center (CIMMYT)

Plants with tolerance to low-phosphorus （P） can grow better under Iow-P conditions, and understanding of genetic mechanisms of Iow-P tolerance can not only facilitate identifying relevant genes but also help to develop Iow-P tolerant cultivars. QTL meta-analysis was conducted after a comprehensive review of the reports on O, TL mapping for Iow-P tolerance-related traits in maize. Meta-analysis pro- duced 23 consensus QTL （cQTL）, 17 of which located in similar chromosome regions to those previously reported to influence root traits. Meanwhile, candidate gene mining yielded 215 genes, 22 of which located in the cQTL regions. These 22 genes are homologous to 14 functionally characterized genes that were found to participate in plant Iow-P tolerance, including genes encoding miR399s, Pi transporters and purple acid phosphatases. Four cQTL loci （cQTL2-L cQTLS-3, cQTL6-2, and cQTL10-2） may play important roles for low-P tolerance because each contains more original QTL and has better consistency across previous reports.

关键词： Candidate gene consensus QTL low-phosphorustolerance maize meta-analysis

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Effects of stand characteristics on tree species richness in and around a conservation area of northeast Bangladesh

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Journal of Mountain Science 2016年第6期13卷 1085-1095页

作者： Muha Abdullah Al PAVEL SharifA.MUKUL Mohammad Belal uddin Kazuhiro HARADA mohammed A.S.ARFIN KHAN Department of Forestry and Environment Science School of Agriculture and Mineral SciencesShahjalal University of Science and TechnologySylhet 3114Bangladesh Department of Land EnvironmentAgriculture and Forestry(TeSAF)School of Agriculture and Veterinary MedicineUniversity of PadovaViale dell Universitd1635020 LegnaroItaly Tropical Forestry Group School of Agriculture and Food SciencesThe University of QueenslandBrisbane QLD 4072Australia Tropical Forests and People Research Centre university of the sunshine coastMarooehydore DCOLD 4558Australia Centre for Research on Land-use Sustainability MaijdiNoakhali 3800Bangladesh Dept.of Biosphere Resources Science Graduate School of Bioagricultural SciencesNagoya UniversityNagoya 464-8601Japan

We investigated the effect of tree cover,forest patch and disturbances on tree species richness in a highly diverse conservation area of northeast Bangladesh.A systematic sampling protocol was adopted and 80 sub-plots from twenty five 1 ha plots were used for the vegetation *** regression analysis was performed to understand the effect of patch area,disturbances and tree cover on tree species *** using Redundancy analysis(RDA) and Non-metric Multi Dimensional Scaling(NMDS) were also performed to explore the tree species compositional similarities along the stand characteristics gradient and locations of the sample *** study revealed that,forest patch size has greater influence on species *** with medium level of disturbances have shown greater species *** constrained ordination the selected explanatory variables regulated the richness of common *** findings can be useful for better forest management and restoration of landscapes of conservation needs using ecologically important species.

关键词： Biodiversity Disturbance Forestconservation Tree cover Forest patch LawacharaNational Park

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