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User Behavior Traffic Analysis Using a Simplified Memory-Prediction Framework

Computers, Materials & Continua 2022年第2期70卷 2679-2698页

作者： Rahmat Budiarto ahmad a.alqarni Mohammed YAlzahrani Muhammad Fermi Pasha Mohamed FazilMohamed Firdhous Deris Stiawan College of Computer Science&IT Albaha UniversityAlaqiq65779-7738Saudi Arabia Malaysia School of Information Technology Monash UniversityBandar Sunway47500Malaysia Department of Information Technology University of MoratuwaMoratuwa10400Sri Lanka Faculty of Computer Science Universitas SriwijayaIndralaya30662Indonesia

As nearly half of the incidents in enterprise security have been triggered by insiders,it is important to deploy a more intelligent defense system to assist enterprises in pinpointing and resolving the incidents caused by insiders or malicious software(malware)in *** to do so may cause a serious loss of reputation as well as *** the same time,modern network traffic has dynamic patterns,high complexity,and large volumes that make it more difficult to detect malware *** ability to learn tasks sequentially is crucial to the development of artificial *** neurogenetic computation models with deep-learning techniques are able to detect complex patterns;however,the models have limitations,including catastrophic forgetfulness,and require intensive computational *** defense systems using deep-learning models require more time to learn new traffic patterns,they cannot perform fully online(on-the-fly)***,an intelligent attack/malware detection system with on-the-fly learning capability is *** this paper,a memory-prediction framework was adopted,and a simplified single cell assembled sequential hierarchical memory(***)model instead of the hierarchical temporal memory(HTM)model is proposed to speed up learning convergence to achieve onthe-fly *** *** consists of a Single Neuronal Cell(SNC)model and a simplified Sequential Hierarchical Superset(SHS)*** *** implemented as the prediction engine of a user behavior analysis tool to detect insider attacks/*** experimental results show that the proposed memory model can predict users’traffic behavior with accuracy level ranging from 72%to 83%while performing on-the-fly learning.

关键词： Machine learning memory prediction framework insider attacks user behavior analytics

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Application of Physical Unclonable Function for Lightweight Authentication in Internet of Things

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Computers, Materials & Continua 2023年第4期75卷 1901-1918页

作者： ahmad O.Aseeri Sajjad Hussain Chauhdary Mohammed Saeed Alkatheiri Mohammed a.alqarni Yu Zhuang Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Computer Science Texas Tech UniversityLubbockUSA

IoT devices rely on authentication mechanisms to render secure message *** data transmission,scalability,data integrity,and processing time have been considered challenging aspects for a system constituted by IoT *** application of physical unclonable functions(PUFs)ensures secure data transmission among the internet of things(IoT)devices in a simplified network with an efficient time-stamped *** paper proposes a secure,lightweight,cost-efficient reinforcement machine learning framework(SLCR-MLF)to achieve decentralization and security,thus enabling scalability,data integrity,and optimized processing time in IoT *** has been integrated into SLCR-MLF to improve the security of the cluster head node in the IoT platform during transmission by providing the authentication service for device-to-device *** IoT network gathers information of interest from multiple cluster members selected by the proposed *** addition,the software-defined secured(SDS)technique is integrated with SLCR-MLF to improve data integrity and optimize processing time in the IoT *** analysis shows that the proposed framework outperforms conventional methods regarding the network’s lifetime,energy,secured data retrieval rate,and performance *** enabling the proposed framework,number of residual nodes is reduced to 16%,energy consumption is reduced by up to 50%,almost 30%improvement in data retrieval rate,and network lifetime is improved by up to 1000 msec.

关键词： Cyber-physical systems security data aggregation Internet of Things physical unclonable function swarm intelligences

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Emerging insights into the function of very long chain fatty acids at cerebellar synapses

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Neural Regeneration Research 2025年第6期20卷 1709-1710页

作者： Martin-Paul Agbaga Mohiuddin ahmad Department of Cell Biology and Ophthalmology University of Oklahoma Health Sciences Centerand Dean McGee Eye InstituteOklahoma CityOKUSA

Very long chain-saturated and-polyunsaturated fatty acids(VLC-SFA and VLC-PUFA, respectively) are a functionally important class of fatty acids containing 28 carbons or more in their acyl chain. They are synthesized by the elongation of very long fatty acids-4(ELOVL4) enzyme, expressed mainly in the brain, retina, skin, testes, and meibomian gland, where these fatty acids are found(Agbaga et al., 2008). Further, these organs exhibit tissuespecific VLC-PUFA and VLC-SFA biosynthesis and incorporation into complex lipids for specific functions. In the brain, skin, and Meibomian glands, the ELOVL4 mainly makes VLC-SFA, which are incorporated into complex sphingolipids. In the retina, the ELOVL4 makes VLC-PUFA that are incorporated into phosphatidylcholine, that are critical for visual function, while in testes and sperm, the VLC-PUFA are incorporated into sphingolipids that are critical for fertility(Yeboah et al., 2021).

关键词： functions function insight

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Real-Time CNN-Based Driver Distraction&Drowsiness Detection System

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Intelligent Automation & Soft Computing 2023年第8期37卷 2153-2174页

作者： Abdulwahab Ali Almazroi Mohammed a.alqarni Nida Aslam Rizwan Ali Shah University of Jeddah College of Computing and Information Technology at KhulaisDepartment of Information TechnologyJeddahSaudi Arabia University of Jeddah College of Computer Science and EngineeringDepartment of Software EngineeringJeddahSaudi Arabia Department of Computer Science National College of Business Administration&EconomicsBahawalpur Campus63100Pakistan Department of Computer Science and Information Technology The Islamia University of BahawalpurRahim Yar Khan CampusPunjab64200Pakistan

Nowadays days,the chief grounds of automobile accidents are driver fatigue and *** the development of computer vision technology,a cutting-edge system has the potential to spot driver distractions or sleepiness and alert them,reducing *** paper presents a novel approach to detecting driver tiredness based on eye and mouth movements and object identification that causes a distraction while operating a motor *** the facial landmarks that the camera picks up and sends to classify using a Convolutional Neural Network(CNN)any changes by focusing on the eyes and mouth zone,precision is *** of the tasks that must be performed in the transit system is seat belt detection to lessen accidents caused by sudden stops or high-speed collisions with other cars.A method is put forth to use convolution neural networks to determine whether the motorist is wearing a seat belt when a driver is sleepy,preoccupied,or not wearing their seat belt,this system alerts them with an alarm,and if they don’t wake up by a predetermined time of 3 s threshold,an automatic message is sent to law enforcement *** suggested CNN-based model exhibits greater accuracy with 97%.It can be utilized to develop a system that detects driver attention or sleeps in real-time.

关键词： Deep learning convolutional neural network Tensorflow drowsiness and yawn detection seat belt detection object detection

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MNN-XSS:Modular Neural Network Based Approach for XSS Attack Detection

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Computers, Materials & Continua 2022年第2期70卷 4075-4085页

作者： Ahmed Abdullah alqarni Nizar Alsharif Nayeem ahmad Khan Lilia Georgieva Eric Pardade Mohammed Y.Alzahrani Department of Computer Sciences and Information Technology AlBaha UniversityAlBahaSaudi Arabia Department of Computer Science Heriot-Watt UniversityEdinburghUK Department of Computer Science and Information Technology La Trobe UniversityMelbourneVIC 3086Australia

The rapid growth and uptake of network-based communication technologies have made cybersecurity a significant challenge as the number of cyber-attacks is also increasing.A number of detection systems are used in an attempt to detect known attacks using signatures in network *** recent years,researchers have used different machine learning methods to detect network attacks without relying on those *** methods generally have a high false-positive rate which is not adequate for an industry-ready intrusion detection *** this study,we propose and implement a new method that relies on a modular deep neural network for reducing the false positive rate in the XSS attack detection *** were performed using a dataset consists of 1000 malicious and 10000 benign *** model uses 50 features selected by using Pearson correlation method and will be used in the detection and preventions of XSS *** results obtained from the experiments depict improvement in the detection accuracy as high as 99.96%compared to other approaches.

关键词： Cybersecurity XSS deep learning modular neural network

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Impact of referral pattern and timing of repair on surgical outcome after reconstruction of post-cholecystectomy bile duct injury:A multicenter study

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Hepatobiliary & Pancreatic Diseases International 2021年第1期20卷 53-60页

作者： Ayman El Nakeeb ahmad Sultan Helmy Ezzat Mohamed Attia Mohamed Abd ElWahab Taha Kayed Ayman Hassanen ahmad AlMalki Ahmed alqarni Mohammed M Mohammed Gastrointestinal Surgical Center Mansoura UniversityMansouraEgypt Minia University Hospital MiniaEgypt Aseer Central Hospital Aseer regionSaudi Arabia

Background:Bile duct injury(BDI)after cholecystectomy remains a significant surgical *** guideline exists to guide the timing of repair,while few studies compare early versus late repair *** study aimed to analyze the outcomes in patients undergoing immediate,intermediate,and delayed repair of ***:We retrospectively analyzed 412 patients with BDI from March 2015 to January *** patients were divided into three groups based on the time of BDI *** 1 underwent an immediate reconstruction(within the first 72 hours post-cholecystectomy,n=156);group 2 underwent an intermediate reconstruction(from 4 days to 6 weeks post-cholecystectomy,n=75),and group 3 underwent delayed reconstruction(after 6 weeks post-cholecystectomy,n=181).Results:Patients in group 2 had significantly more early complications including anastomotic leakage and intra-abdominal collection and late complications including anastomotic stricture and secondary liver cirrhosis compared with groups 1 and *** outcome was observed in 111(71.2%)patients in group 1,31(41.3%)patients in group 2,and 157(86.7%)patients in group 3(P=0.0001).Multivariate analysis identified that complete ligation of the bile duct,level E1 BDI and the use of external stent were independent factors of favorable outcome in group 1,the use of external stent was an independent factor of favorable outcome in group 2,and level E4 BDI was an independent factor of unfavorable outcome in group *** BDI and level E4 BDI were independent factors of unfavorable ***:Favorable outcomes were more frequently observed in the immediate and delayed reconstruction of post-cholecystectomy *** ligation of the bile duct,level E1 BDI and the use of external stent were independent factors of a favorable outcome.

关键词： Bile duct injury Hepaticojejunostomy Anastomotic stricture Biloma Biliary peritonitis

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PtCu dendroframe octahedrons:Enhancing peroxidase-like activity and antibacterial efficiency through structural evolution

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Nano Research 2025年第1期18卷 100-106页

作者： Ri Feng Jiuyi Hu Liangjun Wang Jiayu Xu Jiajia Li Zeeshan ahmad Shaohui Zheng Muhammad Farhan Farid Wenjing Liu Faisal Saleem Key Laboratory of Flexible Electronics(KLOFE) Institute of Advanced Materials(IAM)and School of Flexible Electronics(Future Technologies)Nanjing Tech UniversityNanjing 211816China

Nanozymes,which possess enzyme-like catalytic activity,are attractive alternatives to natural *** activity is largely dependent on the structure of the ***,challenges remain in optimizing the structure-activity *** work explores the synthesis and utilization of PtCu nanostructures(NSs),focusing on their peroxidase(POD)-like properties and their potential as antibacterial *** developed PtCu dendrites that transform into unique dendroframe octahedrons(DFOs)and subsequently stabilize into solid octahedrons with unusual growth *** intermediate DFO,showed higher POD-like activity in comparison to other shapes of PtCu *** DFOs also have the better ability to consume glutathione,thus enhancing their sterilization ***,we demonstrate the effectiveness of these PtCu DFOs as powerful antibacterial *** work provides valuable information on shape dependent activities of PtCu NSs in the field of biomedicine.

关键词： nanozymes antibacterials peroxidase PtCu dendroframe octahedrons dendrites

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Comparative study of living donor kidney transplants:Right vs left

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World Journal of Transplantation 2025年第1期15卷 115-123页

作者： Taqi Khan Nadeem ahmad Qaisar Iqbal Muneeb Hassan Lajward Asnath Naveed Khan Sajid Shakeel Kidney Transplant Unit Rehman Medical InstitutePeshawar 25100Khyber PakhtunkhwaPakistan Department of Surgery Princess Noura Binti AbdulRehman UniversityRiyadh 84428Saudi Arabia

BACKGROUND Transplant teams often hesitate to use the right kidney(RK)in living donor(LD)transplants due to the complexities of anastomosing the short,thin-walled right renal veins,which can potentially lead to graft loss or graft ***,circumstances may arise where selecting the RK over the left kidney(LK)is ***,it is crucial to thoroughly examine the implications of such a choice on the overall transplant *** To compare transplant outcomes between recipients of RK and LK while examining the factors that influence these *** We retrospectively analyzed data from adult patients who received LD kidney transplants involving meticulous patient selection and surgical techniques at our center from January 2020 to December *** included all kidney donors who were over 18,fit to donate,and had undergone diethylenetriamine pentaacetic acid split function and/or computed tomography based *** variables examined comprised donor and recipient demographics,and outcome measures included technical graft loss(TGL),delayed or slow graft function(SGF),and post-transplant serum creatinine(SC)*** used a logistic regression model to assess the likelihood of adverse outcomes considering the donor kidney *** Of the 250 transplants performed during the period,56(22%)were *** recipient demographics and transplant factors were comparable for the right and LKs,except that the donor warm and cold ischemia time were shorter for *** and SGF each occurred in 2%(n=1)of RKs and 0.5%(n=1)of LKs,the difference being *** complications,however,were not related to the venous *** RK(2%)developed delayed graft function after 48 hours,which was attributable to postoperative hypoxia rather than the surgical *** post-transplant SC trend and mean SC at the last follow-up were similar across both kidney *** The donor kidney side has little impact on post-transplant

关键词： Living donor Right kidney Right renal vein Venous anastomosis Technical graft loss Early graft function

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New Trends in Fuzzy Modeling Through Numerical Techniques

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Computers, Materials & Continua 2023年第3期74卷 6371-6388页

作者： M.M.alqarni Muhammad Rafiq Fazal Dayan Jan Awrejcewicz Nauman Ahmed Ali Raza Muhammad Ozair ahmad Witold Pawłowski Emad E.Mahmoud Department of Mathematics College of SciencesKing Khalid UniversityAbha61413Saudi Arabia Department of Mathematics Faculty of Sciences and TechnologyUniversity of Central PunjabLahorePakistan Department of Mathematics School of ScienceUniversity of Management and TechnologyLahorePakistan Department of Automation Biomechanics and MechatronicsLodz University of Technology1/15 Stefanowskiego St.90-924LodzPoland Department of Mathematics and Statistics University of LahoreLahorePakistan Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Institute of Machine Tools and Production Engineering Lodz University of TechnologyPoland Department of Mathematics College of ScienceTaif UniversityP.O.Box11099Taif21944Saudi Arabia

Amoebiasis is a parasitic intestinal infection caused by the highly pathogenic amoeba Entamoeba *** is spread through person-toperson contact or by eating or drinking food or water contaminated with *** transmission rate depends on the number of cysts present in the *** traditional models assumed a homogeneous and contradictory transmission with *** heterogeneity of its transmission rate is a significant factor when modeling disease *** heterogeneity of disease transmission can be described mathematically by introducing fuzzy *** this context,a fuzzy SEIR Amoebiasis disease model is considered in this *** equilibrium analysis and reproductive number are studied with *** numerical schemes forward Euler method and a nonstandard finite difference(NSFD)approach,are developed for the learned model,and the results of numerical simulations are *** numerical and simulation results reveal that the proposed NSFD method provides an adequate representation of the dynamics of the disease despite the uncertainty and ***,the obtained method generates plausible predictions that regulators can use to support decision-making to design and develop control strategies.

关键词： Epidemic model fuzzy parameters amoebiasis NSFD scheme convergence

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Leaching of styrene and other aromatic compounds in drinking water from PS bottles

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Journal of Environmental Sciences 2007年第4期19卷 421-426页

作者： Maqbool ahmad ahmad S. Bajahlan Environmental Control Department Directorate General for Royal Commission at Yanbu P.O.Box 30031 Yanbu Al-SinaiyahKingdom of Saudi Arabia

Bottled water may not be safer, or healthier, than tap water. The present studies have proved that styrene and some other aromatic compounds leach continuously from polystyrene （PS） bottles used locally for packaging. Water sapmles in contact with PS were extracted by a preconcentration technique called as ＂purge and trap＂ and analysed by gas chromatograph-mass spectrometer （GC/MS）. Eleven aromatic compounds were identified in these studies. Maximum concentration of styrene in PS bottles was 29.5 μg/L. Apart from styrene, ethyl benzene, toluene and benzene were also quantified but their concentrations were much less than WHO guide line values. All other compounds were in traces. Quality of plastic and storage time were the major factor in leaching of styrene. Concentration of styrene was increased to 69.53 μg/L after one-year storage. In Styrofoam and PS cups studies, hot water was found to be contaminated with styrene and other aromatic compounds. It was observed that temperature played a major role in the leaching of styrene monomer from Styrofoam cups. Paper cups were found to be safe for hot drinks.

关键词： styrene polystyrene (PS) ethyl benzene leaching styrofoam

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