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Machine Learning Enabled Novel Real-Time ioT Targeted DoS/DDoS Cyber Attack Detection System

Computers, Materials & Continua 2024年第9期80卷 3655-3683页

作者： Abdullah Alabdulatif Navod Neranjan Thilakarathne mohamed Aashiq Department of Cybersecurity College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of iCT Faculty of TechnologyUniversity of ColomboColombo00700Sri Lanka Department of Computer Science and Engineering Faculty of EngineeringSouth Eastern University of Sri LankaOluvil32360Sri Lanka

The increasing prevalence of internet of Things(ioT)devices has introduced a new phase of connectivity in recent years and,concurrently,has opened the floodgates for growing cyber *** the myriad of potential attacks,Denial of Service(DoS)attacks and Distributed Denial of Service(DDoS)attacks remain a dominant concern due to their capability to render services inoperable by overwhelming systems with an influx of *** ioT devices often lack the inherent security measures found in more mature computing platforms,the need for robust DoS/DDoS detection systems tailored to ioT is paramount for the sustainable development of every domain that ioT *** this study,we investigate the effectiveness of three machine learning(ML)algorithms:extreme gradient boosting(XGB),multilayer perceptron(MLP)and random forest(Rf),for the detection of ioTtargeted DoS/DDoS attacks and three feature engineering methods that have not been used in the existing stateof-the-art,and then employed the best performing algorithm to design a prototype of a novel real-time system towards detection of such DoS/DDoS *** CiCioT2023 dataset was derived from the latest real-world ioT traffic,incorporates both benign and malicious network traffic patterns and after data preprocessing and feature engineering,the data was fed into our models for both training and validation,where findings suggest that while all threemodels exhibit commendable accuracy in detectingDoS/DDoS attacks,the use of particle swarmoptimization(PSO)for feature selection has made great improvements in the performance(accuracy,precsion recall and f1-score of 99.93%for XGB)of the ML models and their execution time(491.023 sceonds for XGB)compared to recursive feature elimination(RfE)and randomforest feature importance(Rfi)*** proposed real-time system for DoS/DDoS attack detection entails the implementation of an platform capable of effectively processing and analyzing network traffic in *** inv

关键词： Machine learning internet of Things(ioT),DoS,DDoS cybersecurity intrusion prevention network security,feature optimization,sustainability

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Classified VPN Network Traffic flow Using Time Related to Artificial Neural Network

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Computers, Materials & Continua 2024年第7期80卷 819-841页

作者： Saad Abdalla Agaili mohamed Sefer Kurnaz Department of Electrical and Computer Engineering Altinbas UniversityIstanbul34000Turkey

VPNs are vital for safeguarding communication routes in the continually changing cybersecurity ***,increasing network attack complexity and variety require increasingly advanced algorithms to recognize and categorizeVPNnetwork *** present a novelVPNnetwork traffic flowclassificationmethod utilizing Artificial Neural Networks(ANN).This paper aims to provide a reliable system that can identify a virtual private network(VPN)traffic fromintrusion attempts,data exfiltration,and denial-of-service *** compile a broad dataset of labeled VPN traffic flows from various apps and usage ***,we create an ANN architecture that can handle encrypted communication and distinguish benign from dangerous *** effectively process and categorize encrypted packets,the neural network model has input,hidden,and output *** use advanced feature extraction approaches to improve the ANN’s classification accuracy by leveraging network traffic’s statistical and behavioral *** also use cutting-edge optimizationmethods to optimize network characteristics and *** suggested ANN-based categorization method is extensively tested and *** show the model effectively classifies VPN traffic *** also show that our ANN-based technique outperforms other approaches in precision,recall,and f1-score with 98.79%*** study improves VPN security and protects against new *** VPNtraffic flows effectively helps enterprises protect sensitive data,maintain network integrity,and respond quickly to security *** study advances network security and lays the groundwork for ANN-based cybersecurity solutions.

关键词： VPN network traffic flow ANN classification intrusion detection data exfiltration encrypted traffic feature extraction network security

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Enhancing Healthcare Data Security and Disease Detection Using Crossover-Based Multilayer Perceptron in Smart Healthcare Systems

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 977-997页

作者： Mustufa Haider Abidi Hisham Alkhalefah mohamed K.Aboudaif Department of industrial Engineering College of EngineeringKing Saud UniversityP.O.Box-800Riyadh11421Saudi Arabia

The healthcare data requires accurate disease detection analysis,real-timemonitoring,and advancements to ensure proper treatment for ***,Machine Learning methods are widely utilized in Smart Healthcare Systems(SHS)to extract valuable features fromheterogeneous and high-dimensional healthcare data for predicting various diseases and monitoring patient *** methods are employed across different domains that are susceptible to adversarial attacks,necessitating careful ***,this paper proposes a crossover-based Multilayer Perceptron(CMLP)*** collected samples are pre-processed and fed into the crossover-based multilayer perceptron neural network to detect adversarial attacks on themedical records of *** an attack is detected,healthcare professionals are promptly alerted to prevent data *** paper utilizes two datasets,namely the synthetic dataset and the University of Queensland Vital Signs(UQVS)dataset,from which numerous samples are *** results are conducted to evaluate the performance of the proposed CMLP model,utilizing various performancemeasures such as Recall,Precision,Accuracy,and f1-score to predict patient *** the proposed method with existing approaches,it achieves the highest accuracy,precision,recall,and ***,the proposedmethod achieves a precision of 93%,an accuracy of 97%,an f1-score of 92%,and a recall of 92%.

关键词： Smart healthcare systems multilayer perceptron cybersecurity adversarial attack detection Healthcare 4.0

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Vanillylacetone attenuates cadmium chloride-induced hippocampal damage and memory loss through upregulation of nuclear factor erythroid 2-related factor 2 gene and protein expression

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Neural Regeneration Research 2024年第12期19卷 2750-2759页

作者： fahaid H.A.L-Hashem Salah O.Bashir Amal f.Dawood Moutasem S.Aboonq ismaeel Bin-Jaliah Abdulaiziz M.Al-Garni mohamed D.Morsy Department of Physiology College of MedicineKing Khalid UniversityAbhaSaudi Arabia Department of Basic Medical Sciences College of MedicinePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Physiology College of MedicineTaibah UniversityAl-Madinah Al-MunawwarahSaudi Arabia Department of Medicine College of MedicineKing Khalid UniversityAbhaSaudi Arabia

Memory loss and dementia are major public health concerns with a substantial economic *** stress has been shown to play a crucial role in the pathophysiology of hippocampal damage-induced memory *** investigate whether the antioxidant and anti-inflammatory compound vanillyla cetone(zingerone) can protect against hippocampal damage and memory loss induced by cadmium chloride(CdCl_(2)) administration in rats,we explo red the potential involvement of the nuclear factor erythroid 2-related factor 2(Nrf2) signaling pathway,which is known to modulate oxidative stress and *** healt hy male Wistar rats were divided into five groups:vehicle-treated(control),vanillylacetone,CdCl_(2),vanillylacetone+ CdCl_(2),vanillylacetone+ CdCl_(2)+ brusatol(a selective pharmacological N rf2inhibitor) *** effectively attenuated CdCl_(2)-induced damage in the dental gyrus of the hippocampus and improved the memory function assessed by the Morris Water Maze ***,vanillylacetone markedly decreased the hippocampal tissue levels of inflammatory biomarkers(interleukin-6,tumor necrosis factor-α,intracellular cell adhesive molecules) and apoptosis biomarkers(Bax and cleaved caspase-3).The control and CdCl_(2)-treated groups treated with va nillylacetone showed reduced generation of reactive oxygen species,decreased malondialdehyde levels,and increased superoxide dismutase and glutathione activities,along with significant elevation of nuclear Nrf2 mRNA and protein expression in hippocampal *** the protective effects of vanillylacetone we re substantially blocked by the co-administration of brusatol(a selective N rf2 inhibitor).Va nillylacetone mitigated hippocampal damage and memory loss induced by CdCl_(2),at least in part, by activating the nuclear transcription factor ***,vanillylacetone exerted its potent antioxidant and antiinflammatory actions.

关键词： hippocampus neuroprotective Nrf2 gene oxidative stress vanillylacetone

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Multi-timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids:State-of-the-art and Perspectives

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Protection and Control of Modern Power Systems 2024年第3期9卷 1-35页

作者： Mingyue Zhang Yang Han Yuxiang Liu Amr S.Zalhaf Ensheng Zhao Karar Mahmoud mohamed M.f.Darwish frede Blaabjerg the School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731China iEEE 不详 the University of Electronic Science and Technology of China(UESTC) ChengduChina Aswan University the School of Electrical Engineering Aalto UniversityFinland the Department of Electrical Engineering Faculty of Engineering at ShoubraBenha University the Department of EEA School of Electrical EngineeringAalto University

The increasing trend for integrating renewable energy sources into the grid to achieve a cleaner energy system is one of the main reasons for the development of sustainable microgrid(MG)*** typical power-electronized power systems,MGs make extensive use of power electronics converters,which are highly controllable and flexible but lead to a profound impact on the dynamic performance of the whole *** with traditional large-capacity power systems,MGs are less resistant to perturbations,and various dynamic variables are coupled with each other on multiple timescales,resulting in a more complex system instability *** meet the technical and economic challenges,such as active and reactive power-sharing,voltage,and frequency deviations,and imbalances between power supply and demand,the concept of hierarchical control has been introduced into MGs,allowing systems to control and manage the high capacity of renewable energy sources and ***,as the capacity and scale of the MG system increase,along with a multi-timescale control loop design,the multi-timescale interactions in the system may become more significant,posing a serious threat to its safe and stable *** investigate the multi-timescale behaviors and instability mechanisms under dynamic inter-actions for AC MGs,existing coordinated control strategies are discussed,and the dynamic stability of the system is defined and classified in this ***,the modeling and assessment methods for the stability analysis of multi-timescale systems are also ***,an outlook and discussion of future research directions for AC MGs are also presented.

关键词： Sustainable microgrid hierarchical control modeling model simplification multi-timescale dynamic stability analysis timescale decomposition.

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Molecular characterization of an outbreak-involved Bacillus anthracis strain confirms the spillover of anthrax from West Africa

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infectious Diseases of Poverty 2024年第1期13卷 93-94页

作者： Shuchao Wang Roland Suluku mohamed B.Jalloh Ahmed f.Samba Baogui Jiang Yubiao Xie Doris Harding Mengyao Zhang foday Sahr Mahmud E.Sesay James S.Squire mohamed A.Vandi Moinina N.Kallon Shoufeng Zhang Rongliang Hu Yuee Zhao Zhiqiang Mi Changchun Veterinary Research institute Chinese Academy of Agricultural Sciences Changchun China Department of Animal Sciences School of Agriculture and Food Sciences Njala University Njala Sierra Leone Department of Microbiology College of Medicine and Allied Health Sciences University of Sierra Leone Freetown Sierra Leone Ministry of Agriculture and food Sciences Freetown Sierra Leone Beijing institute of Microbiology and Epidemiology Beijing China Ministry of Health and Sanitation Freetown Sierra Leone Beijing institute of Biotechnology Beijing China

Background Anthrax,a zoonotic disease caused by the spore-forming bacterium Bacillus anthracis,remains a major global public health concern,especially in countries with limited *** Leone,a West African country historically plagued by anthrax,has almost been out of report on this disease in recent *** this study,we described a large-scale anthrax outbreak affecting both animals and humans and attempted to characterize the *** The causative agent of the animal outbreak in Port Loko District,Sierra Leone,between March and May 2022 was identified using the nanopore sequencing technique.A nationwide active surveillance was implemented from May 2022 to June 2023 to monitor the occurrence of anthrax-specific symptoms in *** cases were subsequently verified using quantitative polymerase chain ***-genome sequencing was accomplished by combining long-read and short-read sequencing *** phylogenetic analysis was performed based on the full-chromosome single nucleotide *** The outbreak in Port Loko District,Sierra Leone,led to the death of 233 animals between March 26th and May 16th,*** ruled out the initial suspicion of Anaplasma species and successfully identified *** as the causative agent of the *** a result of the government's prompt response,out of the 49 suspected human cases identifed during the one-year active surveillance,only 6 human cases tested positive,all within the frst month after the official declaration of the *** phylogenetic analysis indicated that the BaSL2022 isolate responsible for the outbreak was positioned in the ***.153 clade within the TransEuroAsian group of *** We successfully identifed a large-scale anthrax outbreak in Sierra *** causative isolate of ***,BaSL2022,phylogenetically bridged other lineages in ***.153 clade and neighboring genetic groups,***.144 and ***.148,

关键词： Molecular identification Anthrax Bacillus anthracis Sierra Leone Phylogeny Single nucleotide polymorphism

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Bi-revealed utilities in a defaultable universe: A new point of view on consumption

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Probability, Uncertainty and Quantitative Risk 2024年第1期9卷 13-34页

作者： Nicole El Karoui Caroline Hillairet mohamed Mrad LPSM UMR CNRS 6632Sorbonne Université4 Place Jussieu75005 ParisFrance CREST UMR CNRS 9194Ensae Paris5 Avenue Henry Le Chatelier91120 PalaiseauFrance LAGA UMR CNRS 7539UniversitéSorbonne Paris-Nord99 Avenue Jean Baptiste Clement93430 VilletaneuseFrance

This paper investigates the inverse problem of bi-revealed utilities in a defaultable universe,defined as a standard universe(represented by a filtration f)perturbed by an exogenous defaultable time τ.We assume that the standard universe does not take into account the possibility of the default,thus τ adds an additional source of *** defaultable universe is represented by the filtration G up to time τ(τ included),where G stands for the progressive enlargement of f by *** basic assumption in force is that τ avoids f-stopping *** bi-revealed problem consists in recovering a consistent dynamic utility from the observable characteristic of an *** general results on bi-revealed utilities,first given in a general and abstract framework,are translated in the defaultable G-universe and then are interpreted in the *** decomposition of G-adapted processes X^(G) provides an interpretation of a Gcharacteristic X^(G)_(τ) stopped at τ as a reserve *** to the characterization of G-martingales stopped at τ in terms of f-martingales,we establish a correspondence between G-bi-revealed utilities from characteristic and f-bi-revealed pair of utilities from characteristic and *** a financial framework,characteristic can be interpreted as wealth and reserves as *** result sheds a new light on the consumption in utility criterion:the consumption process can be interpreted as a certain quantity of wealth,or reserves,that are accumulated for the financing of losses at the default time.

关键词： Bi-revealed utilities Defaultable euniverse Enlargement offiltration Preference criteria of wealth and consumption

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The combination of sitagliptin and bee honey extract potentiates the anti-proliferative properties of 5-fluorouracil on Caco-2 cell line without detectable inflammatory events

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Clinical Traditional Medicine and Pharmacology 2024年第4期5卷 65-75页

作者： Asmaa Eisa mohamed f.Elshal Shaden Muawia Hany Khalil Department of Molecular Biology Genetic Engineering and Biotechnology Research InstituteUniversity of Sadat City32897Sadat CityEgypt

Background:Colon cancer originates in the colon,specifically the large *** carries a poor prognosis and high mortality rate due to late diagnosis and ***:Here our objective was to evaluate the anticancer effects of sitagliptin(Sita)in colon cancer using Caco-2 ***,we examined the role of bee honey extract in modulating cancer cell division and necrotic events commonly observed during drug ***:We monitored cell viability rate to evaluate the effect of bee honey extract compared to 5-fluorouracil(5-fu),Sita,and their *** gain further foresights into the implicated molecular interaction,we assessed the expression outline of Raf-1 and MEK,as proliferation ***,we examined the expression outline of p53 and Caspase 3,which are associated with programmed cell death(PCD),through western blot ***:We identified the Raf-1 expression pattern as a likely target for the drug combination and bee honey extract(HE),which effectively controlled colon cancer cell *** study demonstrates that honey extract,either alone or in combination with drugs,can induce PCD by restoring the p53 and CASP-3 *** was accompanied by a synergistic effect on the production of apoptotic cytokines,particularly interlukine-6(iL-6)and iL-8,in cancer ***,the treatment modulated the levels of pro-inflammatory cytokines,including iL-1𝛼and iL-1𝛽and anti-inflammatory cytokines,including iL-4 and ***:Our findings shed light on honey extract and its combinations with 5-fu and Sita in stimulating PCD and modulating cytokine production in Caco-2 cells.

关键词： Colon cancer Caco-2 cells 5-flourouracil Sitagliptin Bee honey Raf-1 signaling Programmed cell death Cytokines

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Topology reduction through machine learning to accelerate dynamic simulation of district heating

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Energy and Ai 2024年第3期17卷 247-260页

作者： Dubon Rodrigue mohamed Tahar Mabrouk Bastien Pasdeloup Patrick Meyer Bruno Lacarrière iMT Atlantique GEPEAUMR CNRS 61444 rue Alfred KastlerNantesF-44307France iMT Atlantique Lab-STICCUMR CNRS 6285655 Av.du TechnopoleBrestF-29238France

District heating networks (DHNs) provide an efficient heat distribution solution in urban areas, accomplished through interconnected and insulated pipes linking local heat sources to local consumers. This efficiency is further enhanced by the capacity of these networks to integrate renewable heat sources and thermal storage systems. However, integration of these systems adds complexity to the physical dynamics of the network, necessitating complex dynamic simulation models. These dynamic physical simulations are computationally expensive, limiting their adoption, particularly in large-scale networks. To address this challenge, we propose a methodology utilizing Artificial Neural Networks (ANNs) to reduce the computational time associated with the DHNs dynamic simulations. Our approach consists in replacing predefined clusters of substations within the DHNs with trained surrogate ANNs models, effectively transforming these clusters into single nodes. This creates a hybrid simulation framework combining the predictions of the ANNs models with the accurate physical simulations of remaining substation nodes and pipes. We evaluate different architectures of Artificial Neural Network on diverse clusters from four synthetic DHNs with realistic heating demands. Results demonstrate that ANNs effectively learn cluster dynamics irrespective of topology or heating demand levels. Through our experiments, we achieved a 27% reduction in simulation time by replacing 39% of consumer nodes while maintaining acceptable accuracy in preserving the generated heat powers by sources.

关键词： District heating network Topology reduction Artificial neural networks Hybrid modeling Graph based formulation

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Toward understanding the microstructure characteristics,phase selection and magnetic properties of laser additive manufactured Nd-fe-B permanent magnets

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international Journal of Extreme Manufacturing 2024年第1期6卷 277-294页

作者： Bo Yao Nan Kang Xiangyu Li Dou Li mohamed EL Mansori Jing Chen Haiou Yang Hua Tan Xin Lin State Key Laboratory of Solidiffcation Processing Northwestern Polytechnical UniversityXi’anShaanxi 710072People’s Republic of China Arts et Metiers institute of Technology MSMPHESAM UniversitéF-51006 Chˆalons-en-ChampagneFrance Key Laboratory of Metal High Performance Additive Manufacturing and innovative Design MIIT ChinaNorthwestern Polytechnical UniversityXi’anShaanxi 710072People’s Republic of China Texas A&M Engineering Experiment Station Institute for Manufacturing SystemsCollege StationTX 77843United States of America

Nd-fe-B permanent magnets play a crucial role in energy conversion and electronic *** essential magnetic properties of Nd-fe-B magnets,particularly coercivity and remanent magnetization,are significantly infuenced by the phase characteristics and *** this work,Nd-fe-B magnets were manufactured using vacuum induction melting(ViM),laser directed energy deposition(LDED)and laser powder bed fusion(LPBf)*** evolution and phase selection of Nd-fe-B magnets were then clarified in *** results indicated that the solidification velocity(V)and cooling rate(R)are key factors in the phase *** terms of the ViM-casting Nd-fe-B magnet,a large volume fraction of theα-fe soft magnetic phase(39.7 vol.%)and Nd2fe17Bxmetastable phase(34.7 vol.%)areformed due to the low R(2.3×10-1?C s-1),whereas only a minor fraction of the Nd2fe14B hard magnetic phase(5.15 vol.%)is *** the LDED-processed Nd-fe-B deposit,although the Nd2fe14B hard magnetic phase also had a low value(3.4 vol.%)as the values of V(increased,part of theα-fe soft magnetic phase(31.7vol.%)is suppressed,and a higher volume of Nd2fe17Bxmetastable phases(47.5 vol.%)*** a result,both the ViM-casting and LDED-processed Nd-fe-B deposits exhibited poor magnetic *** contrast,employing the high values of V(>10-2m s-1)and R(1.45×106?C s-1)in the LPBf process resulted in the substantial formation of the Nd2fe14B hard magnetic phase(55.8 vol.%)directly from the liquid,while theα-fe soft magnetic phase and Nd2fe17Bxmetastable phase precipitation are suppressed in the LPBf-processed Nd-fe-B ***,crystallographic texture analysis reveals that the LPBf-processedNd-fe-B magnets exhibit isotropic magnetic ***,the LPBf-processed Nd-fe-B deposit,exhibiting a coercivity of 656 k A m-1,remanence of 0.79 T and maximum energy product of 71.5 k J m-3,achieved an acceptable magnetic perfor

关键词： laser additive manufacturing(LAM) Nd-fe-B permanent magnets numerical simulation microstructure magnetic properties

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