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Improved Supervised and Unsupervised Metaheuristic-Based Approaches to Detect Intrusion in Various Datasets

Computer Modeling in Engineering & Sciences 2023年第10期137卷 265-298页

作者： Ouail mjahed Salah El Hadaj El Mahdi El Guarmah soukaina mjahed Faculty of Sciences and Technology Department of Computer SciencesCadi Ayyad UniversityMarrakech40000Morocco Mathematics and Informatics Department Royal Air SchoolMarrakech40000Morocco

Due to the increasing number of cyber-attacks,the necessity to develop efficient intrusion detection systems(IDS)is more imperative than *** IDS research,the most effectively used methodology is based on supervised Neural Networks(NN)and unsupervised clustering,but there are few works dedicated to their hybridization with metaheuristic *** intrusion detection data usually contains several features,it is essential to select the best ones *** Discriminant Analysis(LDA)and t-statistic are considered as efficient conventional techniques to select the best features,but they have been little exploited in IDS ***,the research proposed in this paper can be summarized as follows.a)The proposed approach aims to use hybridized unsupervised and hybridized supervised detection processes of all the attack categories in the CICIDS2017 ***,owing to the large size of the CICIDS2017 Dataset,only 25%of the data was used.b)As a feature selection method,the LDAperformancemeasure is chosen and combinedwith the t-statistic.c)For intrusion detection,unsupervised Fuzzy C-means(FCM)clustering and supervised Back-propagation NN are adopted.d)In addition and in order to enhance the suggested classifiers,FCM and NN are hybridized with the seven most known metaheuristic algorithms,including Genetic Algorithm(GA),Particle Swarm Optimization(PSO),Differential Evolution(DE),Cultural Algorithm(CA),Harmony Search(HS),Ant-Lion Optimizer(ALO)and Black Hole(BH)*** metrics extracted from confusion matrices,such as accuracy,precision,sensitivity and F1-score are *** experimental result for the proposed intrusion detection,based on training and test CICIDS2017 datasets,indicated that PSO,GA and ALO-based NNs can achieve promising ***-NN produces a tested accuracy,global sensitivity and F1-score of 99.97%,99.95%and 99.96%,respectively,outperforming performance concluded in several related ***,the best-p

关键词： Classification neural networks Fuzzy C-means metaheuristic algorithm CICIDS2017 intrusion detection system

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Hybridization of Fuzzy and Hard Semi-Supervised Clustering Algorithms Tuned with Ant Lion Optimizer Applied to Higgs Boson Search

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Computer Modeling in Engineering & Sciences 2020年第11期125卷 459-494页

作者： soukaina mjahed Khadija Bouzaachane Ahmad Taher Azar Salah El Hadaj Said Raghay Faculty of Sciences and Technology Department of Applied Mathematics and Computer SciencesCadi Ayyad UniversityMarrakech40000Morocco Robotics and Internet-of-Things Lab(RIOTU) Prince Sultan UniversityRiyadh12435Saudi Arabia Faculty of Computers and Artificial Intelligence Benha UniversityBenha13511Egypt

This paper focuses on the unsupervised detection of the Higgs boson particle using the most informative features and variables which characterize the“Higgs machine learning challenge 2014”data *** unsupervised detection goes in this paper analysis through 4 steps:(1)selection of the most informative features from the considered data;(2)definition of the number of clusters based on the elbow *** experimental results showed that the optimal number of clusters that group the considered data in an unsupervised manner corresponds to 2 clusters;(3)proposition of a new approach for hybridization of both hard and fuzzy clustering tuned with Ant Lion Optimization(ALO);(4)comparison with some existing metaheuristic optimizations such as Genetic Algorithm(GA)and Particle Swarm Optimization(PSO).By employing a multi-angle analysis based on the cluster validation indices,the confusion matrix,the efficiencies and purities rates,the average cost variation,the computational time and the Sammon mapping visualization,the results highlight the effectiveness of the improved Gustafson-Kessel algorithm optimized withALO(ALOGK)to validate the proposed *** if the paper gives a complete clustering analysis,its novel contribution concerns only the Steps(1)and(3)considered *** first contribution lies in the method used for Step(1)to select the most informative features and *** used the t-Statistic technique to rank ***,a feature mapping is applied using Self-Organizing Map(SOM)to identify the level of correlation between ***,Particle Swarm Optimization(PSO),a metaheuristic optimization technique,is used to reduce the data set *** second contribution of thiswork concern the third step,where each one of the clustering algorithms as K-means(KM),Global K-means(GlobalKM),Partitioning AroundMedoids(PAM),Fuzzy C-means(FCM),Gustafson-Kessel(GK)and Gath-Geva(GG)is optimized and tuned with ALO.

关键词： Ant lion optimization binary clustering clustering algorithms Higgs boson feature extraction dimensionality reduction elbow criterion genetic algorithm particle swarm optimization

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New Denial of Service Attacks Detection Approach Using Hybridized Deep Neural Networks and Balanced Datasets

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Computer Systems Science & Engineering 2023年第10期47卷 757-775页

作者： Ouail mjahed Salah El Hadaj El Mahdi El Guarmah soukaina mjahed L2IS Department of Computer SciencesFaculty of Sciences and TechnologyCadi Ayyad UniversityMarrakech40000Morocco 2Mathematics and Informatics DepartmentRoyal Air SchoolMarrakech40000Morocco

Denial of Service(DoS/DDoS)intrusions are damaging cyberattacks,and their identification is of great interest to the Intrusion Detection System(IDS).Existing IDS are mainly based on Machine Learning(ML)methods including Deep Neural Networks(DNN),but which are rarely hybridized with other *** intrusion data used are generally imbalanced and contain multiple ***,the proposed approach aims to use a DNN-based method to detect DoS/DDoS attacks using CICIDS2017,CSE-CICIDS2018 and CICDDoS 2019 datasets,according to the following key points.a)Three imbalanced CICIDS2017-2018-2019 datasets,including Benign and DoS/DDoS attack classes,are used.b)A new technique based on K-means is developed to obtain semi-balanced datasets.c)As a feature selectionmethod,LDA(Linear Discriminant Analysis)performance measure is chosen.d)Four metaheuristic algorithms,counting Artificial Immune System(AIS),Firefly Algorithm(FA),Invasive Weeds Optimization(IWO)and Cuckoo Search(CS)are used,for the first time together,to increase the performance of the suggested DNN-based DoS attacks *** experimental results,based on semi-balanced training and test datasets,indicated that AIS,FA,IWO and CS-based DNNs can achieve promising results,even when ***-DNN yields a tested accuracy of 99.97%,99.98%and 99.99%,for the three considered datasets,respectively,outperforming performance established in several related works.

关键词： Classification neural networks metaheuristic algorithm intrusion detection system DoS/DDoS

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Preliminary Palynostratigraphic Data on the Middle Albian-Lower Cenomanian of the Tarfaya Basin, Southwest Morocco

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Open Journal of Geology 2024年第4期14卷 548-568页

作者： Khaoula Chafai Touria Hssaida Wafaa Maatouf Mohamed Z. Yousfi Sara Chakir soukaina Jaydawi Hanane Khaffou Department of Geology Faculty of Sciences Ben M&#8217Sik University Hassan II Casablanca Morocco Department of Petroleum Laboratory Office National des Hydrocarbures et des Mines Rabat Morocco Department of Geology Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah University Fes Morocco Department of Geology Faculty of Sciences Mohammed V University Rabat Morocco

The Tarfaya-Laayoune-Boujdour basin is of great interest to oil exploration;on this aspect, there has been exploration by the Moroccan National Office of Hydrocarbons and Mining, which has shown indices of oil and/or gas recorded in most wells drilled in the Moroccan Atlantic margin. FD-1 well, object of this study, is one of these wells located in the offshore Tarfaya-Laayoune-Boujdour basin. A palynological examination of the processed samples revealed the existence of organic palynomorphs, well conserved and rich in dinoflagellate cysts. The latter are composed of worldwide marker taxa of high stratigraphic resolutions. Thus, the middle upper Albian (3408 - 3408.5 m) is determined by the presence of Cribroperidinium tensiftense, Tehamadinium coummia, Spiniferella cornuta, Chichaouadinium vestitum, Dinopterygium alatum and Litosphaeridium arundum. The upper Albian (3406.5 - 3408 m) is characterized by the FOs of marker taxa: Cyclonephelium chabaca, Cribroperidinium auctificum and Chichaouadinium vestitum. Lastly, the upper Albian-lower Cenomanian transition is defined between 3404 m and 3406.50 m, as suggested by the FOs of Chichaouadinium boydii, Dinopterygium tuberculatum, Sepispinula ancorifera, Litosphaeridium conispinum, Prolixosphaeridium conulum and Xenascus ceratioides.

关键词： Morocco Tarfaya-Laayoune-Boujdour Basin Albian-Cenomanian Transition Dinoflagellate Cysts Palynostratigraphy

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Return to Dialysis after Kidney Graft Failure

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Open Journal of Nephrology 2024年第2期14卷 240-252页

作者： Ikram Ftaimi soukaina Sakab Manal Chattahi Tarik Bouattar Loubna Benamar Rabia Bayahia Naima Ouzeddoun Service de Nphrologie-Dialyse-Transplantationrnale CHU Ibn Sina Rabat Universit Mohammed V Rabat Morocco

Introduction: The transition period from renal transplantation to dialysis is associated with high morbidity and mortality. The aim of this study is to describe the clinical and paraclinical characteristics, therapeutic management and evolutionary profile of patients returning to dialysis after kidney graft failure. Material and Methods: This was a retrospective, descriptive study conducted in the Nephrology-Dialysis-Renal Transplant Department at university hospital IbnSina between January 1998 and December 2021. We included all renal transplant recipients who had experienced kidney graft dysfunction and returned to dialysis. Patients with a follow-up after return to dialysis of less than 1 year were excluded. Results: Among 166 renal transplant recipients, 20 returned to dialysis after a median renal graft life of 85.5 months [42 - 186], corresponding to a prevalence of 12%. The mean age of our patients was 38.7 ± 11.9 years, with a M/F sex ratio of 2.3. Dialysis was initiated urgently in 10 patients (50%). Hemodialysis was the most commonly used modality (75%). Central venous catheterization was used in 35% of cases, including tunneled catheters. General condition is impaired in all patients, with persistent hypertension in 70% of cases. Mean uremia was 2.35 ± 0.8 g/l, mean creatinine 116 ± 48.3 mg/l, giving a mean GFR of 5.1 ± 2.2 ml/min. Mean albuminemia was 32.9 ± 6 g/l and mean hemoglobinemia 8.6 ± 1.9 g/dl. During the first year of follow-up, none of the patients died. However, 13 patients required hospitalization, with a mean length of stay of 15 days. Eight patients were hospitalized for infections and 5 for renal graft intolerance syndrome. After a mean follow-up of 22 months, 6 patients were detransplanted following graft necrosis. Conclusion: Return to dialysis after RT is fraught with a high rate of complications. The management of these patients must be optimized to improve their vital prognosis and quality of life.

关键词： Kidney Graft Failure Dialysis Detransplantation Immunosuppression

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Influence of the Inclination Angle on Mixed Convection and Heat Transfer in a“T”Shaped Double Enclosure

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Fluid Dynamics & Materials Processing 2023年第7期19卷 1753-1774页

作者： M’Barka Mourabit Meryam Meknassi soukaina Fekkar Soumia Mordane Hicham Rouijaa El Alami Semma Polymer Physics and Critical Phenomena Laboratory Department of PhysicsFaculty of Sciences of Ben M’SikHassanⅡUniversityCasablancaMorocco Laboratory of Control and Mechanical Characterization of Materials and Structures National Higher School of Electricity and MechanicsHassanⅡUniversityCasablancaMorocco Laboratory of Electrical Systems and Telecommunications Department of Applied PhysicsFSTHassan 1^(st)UniversitySettatMorocco Laboratory of Engineering Industrial Management and Innovation FSTHassan 1^(st)UniversitySettatMorocco

The effect of the tilt angle on mixed convection and related heat transfer in a“T”shaped double enclosure with four heated obstacles on the bottom surface is numerically *** considered obstacles are constantly kept at a relatively high(fixed)temperature,while the cavity’s upper wall is *** finite volume approach is used to solve the mass,momentum,and energy equations with the SIMPLEC algorithm being exploited to deal with the pressure-velocity *** is put on the influence of the tilt angle on the solution symmetry,flow structure,and heat exchange through the *** following parameters and related ranges are considered:Rayleigh number 104≤Ra≤5.105,tilt angle 0°≤φ≤90°,Reynolds number 100≤Re≤1000,Prandtl number Pr=0.72,block height B=0.5,opening width C=0.15,and distance between blocks D=*** results reveal different branches of solutions on varying Re andφ.They also show that the symmetry of the solution regarding the P_(2)axis is retained for all cases with no tilt and for values of Re between 100 and 1000.

关键词： Mixed convection heat transfer inclination angle “T”shaped double cavity

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Comparison between PI-DTC-SPWM and fuzzy logic for a sensorless asynchronous motor drive

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Protection and Control of Modern Power Systems 2021年第1期6卷 430-442页

作者： soukaina El Daoudi Loubna Lazrak Laboratory of Automatic Energy Conversion and MicroelectronicsFaculty of Sciences and TechnologySultan Moulay Slimane UniversityBeni MellalMorocco

Currently, asynchronous cage motors are among the most commonly requested machines accentuated by their extension to the field of electric vehicles. Therefore, the development of robust and sophisticated controls for this machine is of significant interest. Artificial intelligence control techniques, such as fuzzy logic, are at the forefront of recent research. However, their design becomes much more complicated for a motor via a multilevel inverter. The main purpose of this paper is to show that it is possible to achieve fuzzy logic control of a squirrel cage asynchronous motor supplied via the usual two-level inverter. This is achieved, by adopting a DTC strategy based on a sinusoidal PWM with multilevel inverter. It employs a feedback information estimator with dual structure between the sliding mode observer at low speed and the model reference adaptive system in sliding mode at high speed. For both installations, speed is regulated using a sliding mode controller.

关键词： Asynchronous motor Direct torque control Fuzzy logic control Model Reference Adaptive System Sliding mode control Sliding mode observer

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Evaluation of Dental Student’s Knowledge among Diabetes: A Cross Sectional Study

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Open Journal of Nursing 2022年第11期12卷 782-795页

作者： soukaina Rouijel Faouzi Azaroual Majid Sakout International University of Rabat Rabat Morocco Faculty of Dentistry Mohammed V University Rabat Morocco

Patients with uncontrolled diabetes are at greater risk for several oral health complications, particularly periodontal disease. Moreover, there is evidence to support a bidirectional relationship between diabetes and periodontal disease. As the prevalence of diabetes continues to rise, it is expected that dental practitioners will be seeing and treating greater numbers of diabetic patients. The aim of this study was to evaluate the knowledge, attitudes and practice of dental students towards diabetic patients. A cross-sectional study was conducted by means of a questionnaire among dental students in a private dental university in Morocco. Qualitative variables were described in terms of numbers and percentages and were compared using a Chi-square test. A p-value of less than 0.005 was considered significant. A total of 268 students participated in the assessment, corresponding to a response rate of 83.7%. The results showed that 80.6% of the students believed that knowing the type of diabetes was important. 14.2% knew the risks that the diabetic patient incurred in dental treatments. For analytical results, 3 groups corresponding to the final 3 years of their 6-year dental curriculum were compared. When asking about the knowledge of the risks incurred by the diabetic patient, there was a statistically significant difference (p < 0.001) between the 3 groups. On the other hand, a statistically significant difference (p < 0.001) was observed between students in 4th, 5th and 6th year concerning the prescription of antibiotics for endodontic procedures if HbA1c < 7. There was a statistically significant difference (p < 0.001) between the 3 groups concerning the knowledge of antibiotics and analgesics prescribed in odontology for diabetic patients. To overcome the lack of knowledge relevant to dental students, it is essential that clinical internship of students must consider the management of patients with diabetes. Finally, continuing educational programs should be fol

关键词： Diabetes Dental Student Public Health Attitude

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ASYMPTOTICS OF THE CROSS-VARIATION OF YOUNG INTEGRALS WITH RESPECT TO A GENERAL SELF-SIMILAR GAUSSIAN PROCESS

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Acta Mathematica Scientia 2020年第6期40卷 1941-1960页

作者： soukaina DOUISSI Khalifa ES-SEBAIY Soufiane MOUSSATEN Laboratory LIBMA Faculty SemlaliaUniversity Cadi Ayyad40000 MarrakechMorocco Department of Statistics and Probability Michigan State UniversityEast LansingMI 48824USA Department of Mathematics Faculty of ScienceKuwait UniversityKuwait Faculty of Sciences Mohamed first University OujdaMorocco

We show in this work that the limit in law of the cross-variation of processes having the form of Young integral with respect to a general self-similar centered Gaussian process of orderβ∈(1/2,3/4]is normal according to the values ofβ.We apply our results to two self-similar Gaussian processes:the subfractional Brownian motion and the bifractional Brownian motion.

关键词： self-similar Gaussian processes Young integral Breuer-Major theorem subfractional Brownian motion bifractional Brownian motion

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中国游客感知/洞察力研究 ——把中国游客吸引到摩洛哥

中国游客感知/洞察力研究 ——把中国游客吸引到摩洛哥

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作者： AMOUD soukaina 山东财经大学

学位级别：硕士

由于中国出境旅游在全球范围内的发展以及中国游客的消费能力,包括摩洛哥在内的许多旅游胜地已经认识到有必要向中国游客开放,以便更好地了解他们,并根据他们的需求调整旅游潜力。由于游客具有关于旅游目的地的某些图像,因此这些感知会... 详细信息

由于中国出境旅游在全球范围内的发展以及中国游客的消费能力,包括摩洛哥在内的许多旅游胜地已经认识到有必要向中国游客开放,以便更好地了解他们,并根据他们的需求调整旅游潜力。由于游客具有关于旅游目的地的某些图像,因此这些感知会影响游客访问某个目的地的动机。此外,游客的看法可能与旅游业试图提出的看法不同,这会造成“形象鸿沟”,从而导致沟通不畅和游客头脑中的形象错误。这些研究问题导致定量研究方法问卷主要在网上进行,并进行了其他研究。理论框架是基于与感知的这些不同部分以及中国游客的行为有关的不同概念和理论。调查结果表明,中国游客对不同问题的看法多种多样。其中一些符合行业和主管部门的倡议,而另一些则导致了“差距”。主要发现表明,中国游客不能一概而论。中国游客异质且复杂,如何对付他们没有单一的解决方案。

关键词：出境旅游感知吸引游客摩洛哥中国

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