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Spotted Hyena Optimizer with Deep Learning Driven Cybersecurity for Social Networks

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Computer Systems Science & Engineering 2023年第5期45卷 2033-2047页

作者： Anwer Mustafa Hilal Aisha Hassan Abdalla Hashim heba G.Mohamed Lubna A.Alharbi Mohamed K.Nour Abdullah Mohamed Ahmed S.Almasoud Abdelwahed Motwakel Department of Electrical and Computer Engineering International Islamic University MalaysiaKuala Lumpur53100Malaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTabuk UniversityTabuk47512Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMecca24382Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Information Systems College of Computer and Information SciencesPrince Sultan UniversityRiyadh12435Saudi Arabia

Recent developments on Internet and social networking have led to the growth of aggressive language and hate *** provocation,abuses,and attacks are widely termed cyberbullying(CB).The massive quantity of user generated content makes it difficult to recognize *** advancements in machine learning(ML),deep learning(DL),and natural language processing(NLP)tools enable to detect and classify CB in social *** this view,this study introduces a spotted hyena optimizer with deep learning driven cybersecurity(SHODLCS)model for *** presented SHODLCS model intends to accomplish cybersecurity from the identification of CB in the *** achieving this,the SHODLCS model involves data pre-processing and TF-IDF based feature *** addition,the cascaded recurrent neural network(CRNN)model is applied for the identification and classification of ***,the SHO algorithm is exploited to optimally tune the hyperparameters involved in the CRNN model and thereby results in enhanced classifier *** experimental validation of the SHODLCS model on the benchmark dataset portrayed the better outcomes of the SHODLCS model over the recent approaches.

关键词： Cybersecurity cyberbullying online social network deep learning spotted hyena optimizer

Hydrophobic polyethersulfone porous membranes for membrane distillation

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Frontiers of Chemical Science and Engineering 2015年第1期9卷 84-93页

作者： heba ABDALLAH Ayman EL-GENDI Maaly KHEDR Elham EL-ZANATI Chemical Engineering & Pilot Plant Department Engineering Research Division National Research Center 33 Bohouth st. Dokki Giza Egypt

Membrane distillation （MD） is a thermal, vapor-driven transportation process through micro porous hydrophobic membranes that is increasingly being applied to seawater and brine desalination processes. Two types of hydrophobic microporous polyethersulfone fiat sheet membranes, namely, annealed polyethersulfone and a polyethersulfone/tetraethoxysilane （PES/TEOS） blend were prepared by a phase inversion process. The membranes were characterized and their performances were investigated using the vacuum membrane distillation of an aqueous NaCI solution. The performances of the prepared membranes were also compared with two commercially available hydrophobic membranes, polyte- trafluorethylene and polyvinylidene fluoride. The influence of operational parameters such as feed temperature （25-65 ℃）, permeate vacuum pressure （200 800 mbar）, feed flow rate （8-22 mL/s） and feed salt concentration （3000 to 35000 mg/L） on the MD permeation flux were investigated for the four membranes. The hydrophobic PES/TEOS membrane had the highest salt rejection （99.7%） and permeate flux （86 kg/（m^2 -h）） at 65 ℃, with a feed of 7000 ppm and a pressure of 200 mbar.

关键词： membrane distillation hydrophobic membrane salt rejection permeate flux

Decoration of vertically aligned TiO2 nanotube arrays with WO3 particles for hydrogen fuel production

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Frontiers in Energy 2018年第2期12卷 249-258页

作者： heba ALI N. ISMAIL M. S. AMIN Mohamed MEKEWI Physical Chemistry Department National Research Centre DokkiCairo 12622 Egypt Chemistry Department Faculty of Science Ain Shams UniversityAbbassia Cairo 12622 Egypt Chemistry Department Faculty of Science Taibah University Madinah Munawwarah Saudi Arabia

WO3 decorated photoelectrodes of titanium nanotube arrays （W-oxide TNTAs） were synthesized via a two-step process, namely, electrochemical oxidation of titanium foil and electrodeposition of W-oxide for various interval times of 1, 2, 3, 5, and 20 min to improve the photoelectrochemical performance and the amount of hydrogen generated. The synthesized photoelectrodes were characterized by various characterization techniques. The presence of tungsten in the modified TNTAs was confirmed using energy dispersive X-ray spectroscopy （EDX）. Field emission scanning electron microscopy （FESEM） and high resolution transmission electron microscope （HRTEM） proved the deposition of W-oxide as small particles staked up on the surface of the tubes at lower deposition time whereas longer times produced large and aggregate particles to mostly cover the surface of TiO2 nanotubes. Additionally, the incorporation of WO3 resulted in a shift of the absorption edge toward visible light as confirmed by UV-Vis diffuse reflectance spectroscopy and a decrease in the estimated band gap energy values hence, modified TNTAs facilitated a more efficient utilization of solar light for water splitting. From the photoelectrochemical measurement data, the optimal photoelectrode produced after 2 min of deposition time improved the photo conversion efficiency and the hydrogen generation by 30% compared to that of the pure TNTA.

关键词： titanium dioxide nanotube arrays potentiostaticanodization electrodeposition method tungsten oxide photoelectrochemical water splitting

Hybrid Metaheuristics Feature Selection with Stacked Deep Learning-Enabled Cyber-Attack Detection Model

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Computer Systems Science & Engineering 2023年第5期45卷 1679-1694页

作者： Mashael M Asiri heba G.Mohamed Mohamed K Nour Mesfer Al Duhayyim Amira Sayed A.Aziz Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I.Eldesouki Department of Computer Science College of Science&Art atMahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Due to exponential increase in smart resource limited devices and high speed communication technologies,Internet of Things(IoT)have received significant attention in different application ***,IoT environment is highly susceptible to cyber-attacks because of memory,processing,and communication *** traditional models are not adequate for accomplishing security in the IoT environment,the recent developments of deep learning(DL)models find *** study introduces novel hybrid metaheuristics feature selection with stacked deep learning enabled cyber-attack detection(HMFS-SDLCAD)*** major intention of the HMFS-SDLCAD model is to recognize the occurrence of cyberattacks in the IoT *** the preliminary stage,data pre-processing is carried out to transform the input data into useful *** addition,salp swarm optimization based on particle swarm optimization(SSOPSO)algorithm is used for feature selection ***,stacked bidirectional gated recurrent unit(SBiGRU)model is utilized for the identification and classification of ***,whale optimization algorithm(WOA)is employed for optimal hyperparameter optimization *** experimental analysis of the HMFS-SDLCAD model is validated using benchmark dataset and the results are assessed under several *** simulation outcomes pointed out the improvements of the HMFS-SDLCAD model over recent approaches.

关键词： Cyberattacks security deep learning internet of things feature selection data classification

Evaluation of implanted perforated lacrimal punctal plugs using anterior segment optical coherence tomography

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Eye and Vision 2021年第1期8卷 366-373页

作者： Raafat Mohyeldeen Abdelrahman Abdallah Ahmed Mohamed Kamal Elshafei heba Radi AttaAllah Ophthalmology Department Minia UniversityEl‑MiniaEgypt Ophthalmology Department Minia University HospitalEl‑MiniaEgypt

Purpose:Evaluation of the patency and position of perforated lacrimal punctal plugs implanted for treating punctal stenosis together with quantitative assessment of the precorneal tear film using anterior segment optical coherence tomography(AS-OCT).Methods:In a prospective study,the lower punctum of 54 eyes of 29 patients implanted with perforated punctal plugs were examined using AS-OCT during the early postoperative *** tear meniscus height(TMH)and tear meniscus area(TMA)were ***,the patency of the plug,its position,TMH and TMA were evaluated,and the results were correlated with postoperative *** scale was used for epiphora ***:Using AS-OCT,48(88.9%)plugs were found in proper position while 6(11.1%)were *** lumen of the plugs was completely patent in 47(87%)plugs,partially obstructed in 2(3.7%)plugs and completely occluded in 5(9.2%)*** was a statistically significant postoperative decrease of TMH and TMA(P<0.001)and postoperative epiphora Munk score(P<0.001).Conclusion:AS-OCT is a valuable,reliable,and noninvasive investigative tool that can detect the proper positioning,patency,and contents of the implanted perforated lacrimal punctal plugs in addition to measurement of TMH and TMA.

关键词： AS-OCT Perforated plugs Plugs

Determinants of Schistosoma mansoni transmission in hotspots at the late stage of elimination in Egypt

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Infectious Diseases of Poverty 2022年第5期11卷 95-96页

作者： Ramy Mohamed Ghazy Walid Ismail Ellakany Mai M.Badr Nehad E.M.Taktak heba Elhadad Sarah MAbdo Ayat Hagag Abdel Rahman Hussein Mohamed Mostafa Tahoun 不详 Department of Tropical Medicine Faculty of MedicineAlexandria UniversityAlexandriaEgypt

Background In certain settings,the prevalence and severity of schistosoma infection do not lessen despite repeated rounds of preventative chemotherapy;these areas are known as *** study aimed to investigate the role of human practices,besides environmental and malacological factors,in the maintenance of the Schistosoma mansoni infection transmission chain in hotspot areas in *** This cross-sectional study was conducted between July and November 2019 in Kafr El-Sheikh Governorate,Egypt.A pre-designed structured interviewing questionnaire was used to collect humanitarian *** samples were collected from children aged 6–15 years on three successive days and examined using the Kato-Katz ***,water and snail samples were taken from watercourses surrounding *** were identified based on their shell morphology and structure and tested for cercaria *** samples were analyzed for their physicochemical and biological *** A total of 2259 fecal samples(1113 in summer and 1146 in fall)were collected from 861 *** 46.9%of the participants were males,and 31.8%were aged 6–10 *** prevalence of *** infection was higher during the summer than during the fall(19.1%vs 7.2%,respectively,P<0.01).The intensity of infection(light,moderate,and heavy)during summer versus fall was(93.55 vs 89.38%,6.45 vs 8.85%,and 0.00%vs 1.77%),respectively(P<0.05).A higher prevalence of human infection was observed among males than females[OR=1.63,95%confidence interval(CI):1.10–2.40,P=0.015],children aged 11–15 years than among their counterparts aged 6–10 years(OR=2.96,95%CI:1.72–5.06,P<0.001),and mothers with a low level of education(OR=3.33,95%CI:1.70–6.52,P<0.001).The main identified risk factors were contacting the main body of water-canal for washing clothes(OR=1.81,95%CI:1.12–2.49,P=0.015),land irrigation(OR=2.56,95%CI:1.32–4.96,P=0.004),water collection(OR=2.94,95%CI:1.82–4.73,P<0.001),bathing(

关键词： Schistosoma mansoni Praziquantel Biomphalaria alexandrina Community engagement Transmission cycle Neglected tropical diseases

Cardiac stem cells: Current knowledge and future prospects

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World Journal of Stem Cells 2022年第1期14卷 1-40页

作者： Radwa A Mehanna Marwa M Essawy Mona A Barkat Ashraf K Awaad Eman H Thabet heba A Hamed Hagar Elkafrawy Nehal A Khalil Abeer Sallam Marwa A Kholief Samar S Ibrahim Ghada M Mourad Medical Physiology Department/Center of Excellence for Research in Regenerative Medicine and Applications Faculty of MedicineAlexandria UniversityAlexandria 21500Egypt Oral Pathology Department Faculty of Dentistry/Center of Excellence for Research in Regenerative Medicine and ApplicationsFaculty of MedicineAlexandria UniversityAlexandria 21500Egypt Human Anatomy and Embryology Department/Center of Excellence for Research in Regenerative Medicine and Applications Faculty of MedicineAlexandria UniversityAlexandria 21500Egypt Center of Excellence for Research in Regenerative Medicine and Applications Faculty of MedicineAlexandria UniversityAlexandria 21500Egypt Histology and Cell Biology Department/Center of Excellence for Research in Regenerative Medicine and Applications Faculty of MedicineAlexandria UniversityAlexandria 21500Egypt Medical Biochemistry Department/Center of Excellence for Research in Regenerative Medicine and Applications Faculty of MedicineAlexandria UniversityAlexandria 21500Egypt Forensic Medicine and Clinical toxicology Department/Center of Excellence for Research in Regenerative Medicine and Applications Faculty of MedicineAlexandria UniversityAlexandria 21500Egypt

Regenerative medicine is the field concerned with the repair and restoration of the integrity of damaged human tissues as well as whole *** the inception of the field several decades ago,regenerative medicine therapies,namely stem cells,have received significant attention in preclinical studies and clinical *** from their known potential for differentiation into the various body cells,stem cells enhance the organ's intrinsic regenerative capacity by altering its environment,whether by exogenous injection or introducing their products that modulate endogenous stem cell function and fate for the sake of ***,research in cardiology has highlighted the evidence for the existence of cardiac stem and progenitor cells(CSCs/CPCs).The global burden of cardiovascular diseases’morbidity and mortality has demanded an in-depth understanding of the biology of CSCs/CPCs aiming at improving the outcome for an innovative therapeutic *** review will discuss the nature of each of the CSCs/CPCs,their environment,their interplay with other cells,and their *** addition,important issues are tackled concerning the potency of CSCs/CPCs in relation to their secretome for mediating the ability to influence other ***,the review will throw the light on the clinical trials and the preclinical studies using CSCs/CPCs and combined therapy for cardiac ***,the novel role of nanotechnology in cardiac regeneration will be explored.

关键词： Cardiac stem and progenitor cells Cardiac stem cells’secretome Cardiac stem cells’niche and metabolism Nanotechnology Clinical trials Combined therapy

Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment

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Computer Systems Science & Engineering 2023年第9期46卷 3121-3139页

作者： Khaled M.Alalayah Fatma S.Alrayes Jaber S.Alzahrani Khadija M.Alaidarous Ibrahim M.Alwayle heba Mohsen Ibrahim Abdulrab Ahmed Mesfer Al Duhayyim Department of Computer Science College of Science and ArtsSharurahNajran UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

With the increased advancements of smart industries,cybersecurity has become a vital growth factor in the success of industrial *** Industrial Internet of Things(IIoT)or Industry 4.0 has revolutionized the concepts of manufacturing and production *** industry 4.0,powerful IntrusionDetection Systems(IDS)play a significant role in ensuring network *** various intrusion detection techniques have been developed so far,it is challenging to protect the intricate data of *** is because conventional Machine Learning(ML)approaches are inadequate and insufficient to address the demands of dynamic IIoT ***,the existing Deep Learning(DL)can be employed to identify anonymous ***,the current study proposes a Hunger Games Search Optimization with Deep Learning-Driven Intrusion Detection(HGSODLID)model for the IIoT *** presented HGSODL-ID model exploits the linear normalization approach to transform the input data into a useful *** HGSO algorithm is employed for Feature Selection(HGSO-FS)to reduce the curse of ***,Sparrow Search Optimization(SSO)is utilized with a Graph Convolutional Network(GCN)to classify and identify intrusions in the ***,the SSO technique is exploited to fine-tune the hyper-parameters involved in the GCN *** proposed HGSODL-ID model was experimentally validated using a benchmark dataset,and the results confirmed the superiority of the proposed HGSODL-ID method over recent approaches.

关键词： Industrial IoT deep learning network security intrusion detection system attribute selection smart factory

A Credit-Based Approach for Overcoming Free-Riding Behaviour in Peer-to-Peer Networks

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Computers, Materials & Continua 2019年第4期59卷 15-29页

作者： Manal Hazazi Afnan Almousa heba Kurdi Shiroq Al-Megren Shada Alsalamah College of Computer and Information Science King Saud UniversityRiyadh 11642Saudi Arabia Mechanical Engineering Department Massachusetts Institute of Technology(MIT)CambridgeMA 02139USA

The underlying premise of peer-to-peer(P2P)systems is the trading of digital resources among individual peers to facilitate file sharing,distributed computing,storage,collaborative applications and multimedia ***-called free-riders challenge the foundations of this system by consuming resources from other peers without offering any resources in return,hindering resource exchange among ***,immense effort has been invested in discouraging free-riding and overcoming the ill effects of such unfair use of the ***,previous efforts have all fallen short of effectively addressing free-riding behaviour in P2P *** paper proposes a novel approach based on utilising a credit incentive for P2P networks,wherein a grace period is introduced during which free-riders must reimburse *** contrast to previous approaches,the proposed system takes into consideration the upload rate of peers and a grace *** system has been thoroughly tested in a simulated environment,and the results show that the proposed approach effectively mitigates free-riding *** to previous systems,the number of downloads from free-riders decreased while downloads by contributing peers *** results also show that under longer grace periods,the number of downloads by fast peers(those reimbursing the system within the grace period)was greater than the number of downloads by slow peers.

关键词： Peer-to-peer network free-riding file sharing credit