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Optimized Generative Adversarial Networks for Adversarial Sample Generation

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Computers, Materials & Continua 2022年第8期72卷 3877-3897页

作者： Daniyal M.Alghazzawi syed hamid hasan Surbhi Bhatia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

Detecting the anomalous entity in real-time network traffic is a popular area of research in recent *** few researches have focused on creating malware that fools the intrusion detection system and this paper focuses on this *** are using Deep Convolutional Generative Adversarial Networks(DCGAN)to trick the malware classifier to believe it is a normal *** this work,a new dataset is created to fool the Artificial Intelligence(AI)based malware detectors,and it consists of different types of attacks such as Denial of Service(DoS),scan 11,scan 44,botnet,spam,User Datagram Portal(UDP)scan,and ssh *** discriminator used in the DCGAN discriminates two different attack classes(anomaly and synthetic)and one normal *** model collapse,instability,and vanishing gradient issues associated with the DCGAN are overcome using the proposed hybrid Aquila optimizer-based Mine blast harmony search algorithm(AO-MBHS).This algorithm helps the generator to create realistic malware samples to be undetected by the *** performance of the proposed methodology is evaluated using different performance metrics such as training time,detection rate,F-Score,loss function,Accuracy,False alarm rate,*** superiority of the hybrid AO-MBHS based DCGAN model is noticed when the detection rate is changed to 0 after the retraining method to make the defensive technique hard to be noticed by the malware detection *** support vector machines(SVM)is used as the malicious traffic detection application and its True positive rate(TPR)goes from 80%to 0%after retraining the proposed model which shows the efficiency of the proposed model in hiding the samples.

关键词： Aquila optimizer convolutional generative adversarial networks mine blast harmony search algorithm network traffic dataset adversarial artificial intelligence techniques

An Improved Optimized Model for Invisible Backdoor Attack Creation Using Steganography

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Computers, Materials & Continua 2022年第7期72卷 1173-1193页

作者： Daniyal M.Alghazzawi Osama Bassam J.Rabie Surbhi Bhatia syed hamid hasan Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

The Deep Neural Networks(DNN)training process is widely affected by backdoor *** backdoor attack is excellent at concealing its identity in the DNN by performing well on regular samples and displaying malicious behavior with data poisoning *** state-of-art backdoor attacks mainly follow a certain assumption that the trigger is sample-agnostic and different poisoned samples use the same *** overcome this problem,in this work we are creating a backdoor attack to check their strength to withstand complex defense strategies,and in order to achieve this objective,we are developing an improved Convolutional Neural Network(ICNN)model optimized using a Gradient-based Optimization(GBO)(ICNN-GBO)*** the ICNN-GBO model,we are injecting the triggers via a steganography and regularization *** are generating triggers using a single-pixel,irregular shape,and different *** performance of the proposed methodology is evaluated using different performance metrics such as Attack success rate,stealthiness,pollution index,anomaly index,entropy index,and *** the CNN-GBO model is trained with the poisoned dataset,it will map the malicious code to the target *** proposed scheme’s effectiveness is verified by the experiments conducted on both the benchmark datasets namely CIDAR-10 andMSCELEB 1M *** results demonstrate that the proposed methodology offers significant defense against the conventional backdoor attack detection frameworks such as STRIP and Neutral cleanse.

关键词： Convolutional neural network gradient-based optimization steganography backdoor attack and regularization attack

A multi-mechanistic approach to the oil recovery study of a family of amphiphilic polysaccharides

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Petroleum Research 2024年第2期9卷 238-249页

作者： Funsho Afolabi syed MMahmood Lunech Mario Nur Asyraf Md Akhir Bennett Tackie-Otoo hamid Sharifigaliuk Center of Research in Enhanced Oil Recovery Universiti Teknologi PETRONASSeri IskandarMalaysia Center for Subsurface Imaging Universiti Teknologi PETRONASSeri IskandarMalaysia Research Institute of Petroleum Industry(RIPI) TehranIran

Chemical enhanced oil recovery(cEOR)remains one of the most potent tertiary recovery ***,it is expensive and rarely environmentally ***-based amphiphilic polymers have been suggested as an alternative to eradicating the challenges of conventional cEOR because of cost-effectiveness,and ***,few in-depth studies exist in the literature to investigate the prospects of these materials.A new family of amphiphilic polysaccharides was synthesized by hydrophobic modification of cellulose sulphate,and the EOR functionalities were *** novel biopolymers exhibited the ability to alter rock wetting *** terms of recovery,one of the variants of the synthesized bio amphiphilic polymer(D-I)was able to reduce residual oil saturation to 12%at harsh conditions of 60,000 ppm salinity at 75℃.Micromodel visual analysis revealed that the performance of the novel materials was due to the combination of mobility control,IFT lowering and emulsification,wettability alteration,and *** a performance commensurate to that of a commercial hydrophobically modified polymer,it can be said that the novel amphiphilic polysaccharides can stand as a viable cEOR agent for oilfield applications.

关键词： Bio-based polymers Amphiphilic polysaccharides EOR Cellulose sulphate Environmental sustainability

Distance Matrix and Markov Chain Based Sensor Localization in WSN

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Computers, Materials & Continua 2022年第5期71卷 4051-4068页

作者： Omaima Bamasaq Daniyal Alghazzawi Surbhi Bhatia Pankaj Dadheech Farrukh Arslan Sudhakar Sengan syed hamid Hassan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Information Systems College of Computer Science and Information TechnologyKing Faisal UniversitySaudi Arabia Department of Computer Science and Engineering Swami Keshvanand Institute of TechnologyManagement&GramothanJaipurRajasthanIndia University of Engineering and Technology LahorePakistan Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveliTamilnaduIndia

Applications based on Wireless Sensor Networks(WSN)have shown to be quite useful in monitoring a particular geographic area of *** geometries of the surrounding environment are essential to establish a successful WSN *** it is literally hard because constructing a localization algorithm that tracks the exact location of Sensor Nodes(SN)in a WSN is always a challenging *** this research paper,Distance Matrix and Markov Chain(DM-MC)model is presented as node localization technique in which Distance Matrix and Estimation Matrix are used to identify the position of the *** method further employs a Markov Chain Model(MCM)for energy optimization and interference *** are performed against two well-known models,and the results demonstrate that the proposed algorithm improves performance by using less network resources when compared to the existing *** probability is used in the Markova chain to sustain higher energy ***,the proposed Distance Matrix and Markov Chain model decrease energy use by 31%and 25%,respectively,compared to the existing DV-Hop and CSA *** experimental results were performed against two proven models,Distance VectorHop Algorithm(DV-HopA)and Crow Search Algorithm(CSA),showing that the proposed DM-MC model outperforms both the existing models regarding localization accuracy and Energy Consumption(EC).These results add to the credibility of the proposed DC-MC model as a better model for employing node localization while establishing a WSN framework.

关键词： Wireless sensor network resource optimization routing distance matrix Markov chain

Efficiency-enhanced reflective nanosieve holograms

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Chinese Optics Letters 2022年第5期20卷 48-52页

作者： Samia Osman hamid Mohammed 赵东 syed Yasir Azeem Xiaoming Goh Shawn J.Tan Jinghua Teng 黄坤 Department of Optics and Optical Engineering University of Science and Technology of ChinaHefei 230026China Singapore 138634Singapore

Photon nanosieves,as amplitude-type metasurfaces,have been demonstrated usually in a transmission mode for optical super-focusing,display,and holography,but the sieves with subwavelength size constrain optical transmission,thus leading to low ***,we report reflective photon nanosieves that consist of metallic meta-mirrors sitting on a trans-parent quartz *** illumination,these meta-mirrors offer the reflectance of〜50%,which is higher than the transmission of visible light through diameter-identical *** from this configuration,a meta-mirror-based reflective hologram has been demonstrated with good consistence between theoretical and experimental results over the broadband spectrum from 500 nm to 650 nm,meanwhile exhibiting total efficiency of〜7%.Additionally,if an additional high-reflectance layer is employed below these meta-mirrors,the efficiency can be enhanced further for optical anti-counterfeiting.

关键词： metasurfaces nanosieves holograms reflective mirrors

Anti-obesity effect and UHPLC-QTOF-MS/MS based metabolite profiling of Solanum nigrum leaf extract

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Asian Pacific Journal of Tropical Biomedicine 2022年第4期12卷 164-174页

作者： Zain Ul Aabideen Muhammad Waseem Mumtaz Muhammad Tayyab Akhtar Muhammad Asam Raza hamid Mukhtar Ahmad Irfan syed Ali Raza Muhammad Nadeem Yee Soon Ling Department of Chemistry University of GujratGujratPakistan Institute of Industrial Biotechnology GC University LahoreLahorePakistan Department of Chemistry College of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Chemistry GC University LahoreLahorePakistan Sabah Occupational Safety Health and Environment AssociationLot331st FloorBlock EIramanis CenterJalanLinatas88450Kota KinabaluSabahMalaysia

Objective:To evaluate the antioxidant potential and pancreatic lipase inhibitory action of optimized hydroethanolic extracts of Solanum ***:Optimized extraction for maximum recovery of metabolites was performed using a combination of freeze-drying and ultrasonication followed by determination of antioxidant and antiobesity *** ultra-high performance liquid chromatography equipped with mass spectrometry was used to analyze metabolite profiling of Solanum *** studies were performed using molecular docking and electrostatic potential analysis for individual *** hypolipidemic potential of the most potent extract was assessed in the obese mice fed on fat rich ***:The 80%hydroethanolic extract exhibited the highest extract yield,total phenolic contents,total flavonoid contents along with the strongest 2,2-diphenyl-1-picrylhydrazyl scavenging activity,total antioxidant power,and pancreatic lipase inhibitory *** 80%hydroethanolic extract not only regulated the lipid profile of obese mice but also restricted the weight gain in the liver,kidney,and *** 80%hydroethanolic extract also reduced alanine transaminase and aspartate transaminase concentrations in *** effects of plant extract at 300 mg/kg body weight were quite comparable with the standard drug ***:Solanum nigrum is proved as an excellent and potent source of secondary metabolites that might be responsible for obesity mitigation.

关键词： Solanum nigrum Ultrasonication Metabolite profiling Total phenolic contents Total flavonoid content Antioxidant DPPH Total antioxidant power Pancreatic lipase UHPLC-QTOF-MS/MS Antiobesity Mice Hypolipidemic Molecular docking

Exploration of uniform heat flux on the flow and heat transportation of ferrofluids along a smooth plate： Comparative investigation

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International Journal of Biomathematics 2018年第4期11卷 57-75页

作者： Muhammad Usman Muhammad hamid syed Tauseef Mohyud Din Asif Waheed Wei Wang School of Mathematical Sciences Peking University Beijing 100871 P. R. China Department of Mathematics Faculty of Sciences HITEC University Taxila Cantt Pakistan Department of Mathematics COMSATS Institute of Information Technology Attock Pakistan

The paper is devoted to a new extension in Gegenbauer wavelet method (GWM) to investigate the transfer of heat and MHD boundary-layer flow of ferrofluids beside a flat plate with velocity slip. A homogenous model study is conducted in which we assumed the heat transfer and forced convective flow of ferrofluids along a flat plate with a uniform wall heat flux. In the direction of transverse to plate, a magnetic field is imposed. Three various magnetic nanoparticle types including Mn–ZnFe 2 O 4 , CoFe 2 O 4 , Fe 3 O 4 are incorporated inside the base fluid. Two types of base fluids (water and kerosene) with bad thermal conductivity as compared to nanoparticles of solid magnetic have been assumed. The mathematical model is tackled via modified Gegenbauer wavelet method (MGWM). A simulation is accomplished for individual ferrofluid mixture by assuming the prevailing impacts of uniform and slip heat fluxes. The variation of heat transfers and skin friction were also observed at the surface of the plate and we analyzed the better heat transfer for every mixture. Kerosene-based magnetite (Fe 3 O 4 ) delivers the better rate of heat transfer at wall due to its association with the kerosene-based Mn–Zn and cobalt ferrites. The slip velocity and magnetic field effects on the temperature, dimensionless velocity, rate of heat transfer and skin friction are examined for various magnetic nanoparticles inside the kerosene oil and water. We observed that the primary influence of magnetic field reduces the dimensionless surface temperature and accelerates the dimensionless velocity as compared to the hydrodynamic case, thus enhancing the rate of heat transfer and skin friction ferrofluids. Moreover, a detailed evaluation of outcomes obtained by MGWM, already published work and numerical RK-4 were found to be in excellent agreement. The error and convergence analysis are presented. Comparison of results, graphical plots, error and convergence analysis reveal the appropriateness of pr

关键词：热流动光滑交通水动力学表面温度数学模型集中分析热转移

Antibiotic resistance and cagA gene correlation:A looming crisis of Helicobacter pylori

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World Journal of Gastroenterology 2012年第18期18卷 2245-2252页

作者： Adnan Khan Amber Farooqui hamid Manzoor syed Shakeel Akhtar Muhammad Saeed Quraishy Shahana Urooj Kazmi Immunology and Infectious Diseases Research Laboratory Department of MicrobiologyUniversity of KarachiUniversity RoadKarachi 75270Pakistan Division of Immunology International Institute of Infection and ImmunityShantou University Medical College22 Xinling RoadShantouGuangdong 515041China Department of Surgery Civil HospitalKarachi 74200Pakistan Hamid ManzoorSyed Shakeel AkhtarMuhammad Saeed QuraishyDepartment of MedicineCivil HospitalKarachi 74200Pakistan

AIM:To determine antibiotic resistance of Helicobacter pylori(***) in Pakistan and its correlation with host and pathogen associated ***:A total of 178 strains of *** were isolated from gastric biopsies of dyspeptic *** patterns against first and second-line antibiotics were determined and trends of resistance were analyzed in relation to the sampling period,gastric conditions and cagA gene *** effect of cagA gene on the acquisition of resistance was investigated by mutant selection ***:The observations showed that monoresistant strains were prevalent with rates of 89% for metronidazole,36% for clarithromycin,37% for amoxicillin,18.5% for ofloxacin and 12% for ***,clarithromycin resistance was on the rise from 2005 to 2008(32% vs 38%,P = 0.004) and it is significantly observed in non ulcerative dyspeptic patients compared to gastritis,gastric ulcer and duodenal ulcer cases(53% vs 20%,18% and 19%,P = 0.000).On the contrary,metronidazole and ofloxacin resistance were more common in gastritis and gastric ulcer *** analysis and frequencies of resistant mutants in vitro correlated with the absence of cagA gene with metronidazole and ofloxacin ***:The study confirms the alarming levels of antibiotic resistance associated with the degree of gastric inflammation and cagA gene carriage in *** strains.

关键词：抗生素耐药性幽门螺旋杆菌基因突变幽门螺杆菌氧氟沙星消化不良克拉霉素甲硝唑

Metabolite profiling and antidiabetic attributes of ultrasonicated leaf extracts of Conocarpus lancifolius

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Asian Pacific Journal of Tropical Biomedicine 2020年第8期10卷 353-360页

作者： syed Ali Raza Ayoub Rashid Chaudhary Muhammad Waseem Mumtaz Ahmad Adnan hamid Mukhtar Muhammad Tayyab Akhtar Department of Chemistry Government College UniversityLahore54000 Pakistan Department of Chemistry University of GujratGujrat Pakistan Institute of Industrial Biotechnology Government College UniversityLahore54000 Pakistan

Objective:To profile the secondary metabolites and to evaluate the antidiabetic potential of hydroethanolic leaf extracts of Conocarpus ***:The various hydroethanolic extracts of Conocarpus lancifolius leaf were prepared by ultrasonication assisted *** phenolic contents,flavonoid contents,antioxidant activity,α-glucosidase andα-amylase inhibitions of leaf extracts were *** metabolite profiling was accomplished by UHPLC-Q-TOF-MS/MS *** antidiabetic assessment of the most potent extract was carried out by measuring the hypoglycemic and hypolipidemic effect in the high fat diet-fed diabetic albino *** blood glucose level,haemoglobin,total cholesterol,high-density lipoproteins(HDL)and low-density lipoproteins(LDL)were ***:The 60%ethanolic extract exhibited the highest phenolic and flavonoid contents of(349.39±2.13)mg GAE/g dry extract and(116.95±2.34)mg RE/g dry extracts,respectively,and the highest DPPH scavenging activity with an IC50 value of(32.87±1.11)μg/*** IC50 values forα-glucosidase andα-amylase inhibitions were(38.64±0.93)μg/mL and(44.80±1.57)μg/mL,***-Q-TOF-MS/MS analysis confirmed the presence of gallic acid,ellagic acid,corilagin,kaempherol-3-O-rutinoside,caffeic acid derivative,isorhamnetin and galloyl derivatives in the 60%ethanolic *** extract at a dose of 450 mg/kg body weight reduced blood glucose level,total cholesterol,LDL and HDL,and increased haemoglobin in alloxan-induced diabetic mice,Conclusions:Conocarpus lancifolius leaves are proved as a good source of biologically functional metabolites and possess antidiabetic activity which may be further explored to treat diabetes.

关键词： Antioxidant Antidiabetic Conocarpus lancifolius Metabolite profiling Diabetic mice model