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Security Threat and Vulnerability Assessment and Measurement in Secure Software Development

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Computers, Materials & Continua 2022年第6期71卷 5039-5059页

作者： Mamoona Humayun NZ Jhanjhi Maram Fahhad Almufareh Muhammad Ibrahim khalil Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufKSA School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia Department of Computer Science Bahria UniversityIslamabadPakistan

Security is critical to the success of software,particularly in today’s fast-paced,technology-driven *** ensures that data,code,and services maintain their CIA(Confidentiality,Integrity,and Availability).This is only possible if security is taken into account at all stages of the SDLC(Software Development Life Cycle).Various approaches to software quality have been developed,such as CMMI(Capabilitymaturitymodel integration).However,there exists no explicit solution for incorporating security into all phases of *** of the major causes of pervasive vulnerabilities is a failure to prioritize *** the most proactive companies use the“patch and penetrate”strategy,inwhich security is accessed once the job is *** cost,time overrun,not integrating testing and input in SDLC,usage of third-party tools and components,and lack of knowledge are all reasons for not paying attention to the security angle during the SDLC,despite the fact that secure software development is essential for business continuity and survival in today’s ICT *** is a need to implement best practices in SDLC to address security at all *** fill this gap,we have provided a detailed overview of secure software development practices while taking care of project costs and *** proposed a secure SDLC framework based on the identified practices,which integrates the best security practices in various SDLC phases.A mathematical model is used to validate the proposed framework.A case study and findings show that the proposed system aids in the integration of security best practices into the overall SDLC,resulting in more secure applications.

关键词： Security secure software development software development life cycle(SDLC) confidentiality integrity availability

Delay Issues of Project Planning in M5 Highway Project of Pakistan

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Delay Issues of Project Planning in M5 Highway Project of Pa...

作者： WAJID khalil 山东大学

学位级别：硕士

Highway construction Industry is playing an important role in improving Pakistan’s *** construction industry of Pakistan is facing issues related delays in project planning especially in highways *** purpose of this study is to empirically investigate the delay issues of project planning in M5 Highway Project of *** find out the impact of factors which effects the project performance consequently lead to project *** was collected from 132 respondents those are working on M5 highway project through questionnaire and respondents were asked about factors which cause delay in M5 highway *** results were analyzed by using *** results of this study indicated that there is positive and significant association between employees’related delay and labor related ***,results also indicated that design related delay has insignificant impact on project *** research will help to overcome the causes of delays and some suggestions are given for reducing delay issues in M5 highway project in *** these suggestions the delay in project planning in M5 highway project can be alleviated.

关键词： Highway construction Industry project planning Pakistan

Localization and macroscopic instability in nanoporous metals

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Acta Mechanica Sinica 2022年第12期38卷 15-32页

作者： Zhangtao Sun Tianfu Guo khalil I.Elkhodary Hang Yang Nian Zhou Shan Tan School of Earth Sciences and Resources China University of Geosciences(Beijing)Beijing 100083China Institute of High Performance Computing A*STARSingapore 138632Singapore Department of Mechanical Engineering The American University in CairoNew Cairo 11835Egypt Department of Engineering Mechanics Dalian University of TechnologyDalian I16081China School of Materials and Energy Engineering Guizhou Institute of TechnologyGuiyang 550003China

Ductile fracture generally relates to microscopic voiding and to strain localization in metallic *** the void size is reduced to the nanoscale,size effects often lead to a different macroscopic plastic behavior from that established for the same material with larger *** example,irradiation of metallic materials can generate a large number of voids at the nanoscale,leading to complex deformation *** present work advances the understanding of strain localization in nanoporous metallic materials,connecting both the microscopic(nano-)and macroscopic *** explore the physical mechanisms at the nanoscale,molecular dynamics(MD)simulations were here carried out,capturing multiple nanovoids ***,a homogenized continuum theory based in Gurson's constitutive framework is proposed,which enables us to explore how localized behavior at the macroscopic scale *** homogenized model incorporates the surface tension associated with nanosized *** importance of this surface tension is illustrated by several parametric studies on the conditions of localization,when a specimen is subjected to uniaxial *** parametric studies show that for smaller nanovoid sizes,and for a hardening matrix material,shear localization onset is *** proposed homogenization model was then used to predict localization behavior captured by our MD *** yield stress and the localization strain predicted by our continuum model are in general agreement with the trends obtained by MD ***,based on our present study,experimental results of shear failure strain *** of irradiation for several metals could be qualitatively explained rather *** model can therefore help shed light on prolonging the operation limits and the lifetime of irradiated metallic materials under complex loading conditions.

关键词： Nanovoids MD simulations Localization Surface tension Shear band

Tungsten ion source under double-pulse laser ablation system

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Chinese Physics B 2017年第9期26卷 285-296页

作者： Ahmed Asaad I khalil Ashraf I Hafez Mahmoud E Elgohary Mohamed A Morsy Department of Laser Sciences and Interactions National Institute of Laser Enhanced SciencesCairo UniversityGiza 12613Egypt Central Laboratory of Ministry of Electricity CairoEgypt Atomic Research Center Atomic Energy AuthorityCairo 13759Egypt Department of Nuclear Engineering Jordan University of Science and Technology IrbidJordan Department of Chemistry King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

New tungsten ion source is produced by using single and double-pulse laser ablation system. Combined collinear Nd：YAG laser beams（266＋1064 nm） are optimized to focus on the sample in air. Optimization of the experimental parameters is achieved to enhance the signal-to-noise ratio of the emission spectra. The velocity distribution of the emitted plasma cloud is carefully measured. The influences of the potential difference between the bias electrodes, laser wavelength and intensity on the current signal are also studied. The results show that the increase in the tungsten ion velocity under the double-pulse lasers causes the output current signal to increase by about three folds. The electron density and temperature are calculated by using the Stark-broadened line profile of tungsten line and Boltzmann plot method of the upper energy levels, respectively. The signal intensity dependence of the tungsten ion angular distribution is also analyzed. The results indicate that the double-pulse laser ablation configuration is more potent technique for producing more metal ion source deposition, thin film formation, and activated plasma-facing component material.

关键词： tungsten ion beam double-pulse lasers ablation system laser ablation system optical Instrumentation

GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms

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Journal of Mountain Science 2019年第3期16卷 595-618页

作者： Alireza ARABAMERI Biswajeet PRADHAN khalil REZAE Masoud SOHRABI Zahra KALANTARI Department of Geomorphology Tarbiat Modares University Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS) Faculty of Engineering and ITUniversity of Technology Sydney Department of Energy and Mineral Resources Engineering Choongmu-gwanSejong University Faculty of Earth Sciences Kharazmi University Department of Civil Engineering- geotechnics Islamic Azad university of Urmia Stockholm University Department of Physical Geography and Bolin Centre for Climate Research

In this study, a novel approach of the landslide numerical risk factor(LNRF) bivariate model was used in ensemble with linear multivariate regression(LMR) and boosted regression tree(BRT) models, coupled with radar remote sensing data and geographic information system(GIS), for landslide susceptibility mapping(LSM) in the Gorganroud watershed, Iran. Fifteen topographic, hydrological, geological and environmental conditioning factors and a landslide inventory(70%, or 298 landslides) were used in mapping. Phased array-type L-band synthetic aperture radar data were used to extract topographic parameters. Coefficients of tolerance and variance inflation factor were used to determine the coherence among conditioning factors. Data for the landslide inventory map were obtained from various resources, such as Iranian Landslide Working Party(ILWP), Forestry, Rangeland and Watershed Organisation(FRWO), extensive field surveys, interpretation of aerial photos and satellite images, and radar data. Of the total data, 30% were used to validate LSMs, using area under the curve(AUC), frequency ratio(FR) and seed cell area index(SCAI).Normalised difference vegetation index, land use/land cover and slope degree in BRT model elevation, rainfall and distance from stream were found to be important factors and were given the highest weightage in modelling. Validation results using AUC showed that the ensemble LNRF-BRT and LNRFLMR models(AUC = 0.912(91.2%) and 0.907(90.7%), respectively) had high predictive accuracy than the LNRF model alone(AUC = 0.855(85.5%)). The FR and SCAI analyses showed that all models divided the parameter classes with high precision. Overall, our novel approach of combining multivariate and machine learning methods with bivariate models, radar remote sensing data and GIS proved to be a powerful tool for landslide susceptibility mapping.

关键词： Landslide susceptibility GIS Remote sensing Bivariate model Multivariate model Machine learning model

Investigation of trend between porosity and drilling parameters in one of the Iranian undeveloped major gas fields

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Petroleum Research 2023年第1期8卷 63-70页

作者： Abbas Ayatizadeh Tanha Amirhossein Parizad khalil Shahbazi Hassan Bagheri Department of Chemical Engineering Tarbiat Modares UniversityTehranIran National Iranian Drilling Company Well Logging DepartmentAhwazIran Petroleum Engineering Department Petroleum University of TechnologyAhwazIran Petroleum Exploration College of Mining EngineeringUniversity of TehranIran

Porosity is one of the main parameters that should be considered when a gas or an oil field is ***,the availability of porosity is crucial in any rock and formation ***,this parameter is not always available and direct measurement is scarce and usually is confined to appraisal phase of a ***,in this study it is aimed to find a relationship in order to estimate porosity in afterward *** data of 5 appraisal wells of an undeveloped gas field has been gathered to perform this *** full set wireline logging data and drilling data were *** data inherit high level of fluctuation which is normal with respect to real direct measured *** smoothed curving was utilized and as a result,the fluctuation was diminished considerably and the feasibility of carrying out the investigation was being established,*** normalize and gather drilling data in a parameter in order to have a better view and investigation,sigmalog method was *** was observed that there is a clear exponential relationship between porosity and drilling data and curve fitting was utilized to conduct a numerical *** curve fitting was established with R^(2)=0.83 and a trustworthy fitting *** results demonstrate the possibility of porosity estimation by using drilling ***,a numerical relationship is given for a specific *** porosity estimation can lead to better analysis of newly drilled rocks and formations leading to more efficient field development strategies.

关键词： Porosity Drilling data Sigmalog D exponent Wireline logging

Design of a Grid Connected Photovoltaic Power Converter

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Design of a Grid Connected Photovoltaic Power Converter

作者： khalil Abusufiyan 华北电力大学(北京)

学位级别：硕士

To meet this increasing demand of power need our resources are not enough and our power generation methods is a hazard to the environment as well,The world is now shifting towards the available renewable and clean energy resources such as solar *** switch from conventional way to the modern way of generating power some necessary changes are taken in to consideration and Engineers are finding best possible ways to make either stand-alone or hybrid an effcient and undisrupted ***-connected photovoltaic systems are providing a viable technology for producing electrical energy by using renewable energy *** power density,high efficiency and reliability for this system are important design considerations along with control objectives like Maximum power point tracking(MPPT),grid synchronization and prevention,sinusoidal current inj ection into the grid and active harmonic *** this thesis,the designing of a grid-connected photovoltaic power converter system has been carried *** relevant topics,literature regarding the elements in a photovoltaic system,grid connection standards have been studied and reviewed.A system designing technique called Model Based Design is utilized through which the designed model has been used to generate code and then the code has been fed into the system controller.A system,with the capacity and ratings of 600 W solar modules has been designed in Simulink with the array having maximum power point voltage of 109.5 *** designed system in a multistage *** and Observe technique has been chosen for maximum power point technique due to its reasonable *** DC-DC converter determined for the application of MPPT technique,is also used for the purpose of boosting the incoming PV voltage *** inverter used is a three-phase two-level inverter due to its simple design and *** control structure for inverter has been designed in synchronous reference frame as good performance

关键词： Photovoltaic(PV) Grid-Connected Photovoltaic Maximum Power Point Tracking(MPPT) Model based designing(MDB) Phase Locked Loop(PLL) Perturb and Observe(P&O) Model Based Design(MDB) Direct Current(DC) Grid Synchronization MATLAB Simulink

Analysis of immune responses against H pylori in rabbits

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World Journal of Gastroenterology 2007年第4期13卷 600-606页

作者： Khademul Islam Ibrahim khalil Chowdhury Rafiqul Ahsan Mahmuda Yasmin Jamalun Nessa Department of Genetic Engineering and Biotechnology University of Dhaka Dhaka 1000 Bangladesh Department of Microbiology University of Dhaka Dhaka 1000 Bangladesh

AIM： To investigate the immunogenicity of H pylori proteins, to evaluate the production rate of anti H pylori IgG antibodies in relation to time and to demonstrate the fidelity of newly optimized in-house enzymelinked immunosorbent assay （ELISA） technique as an alternative for H pylori infection assay. METHODS： In the present study, 100 μg of formalinfixed H pylori whole cell antigens was injected into an experimental animal （New Zealand white female rabbit） intramuscularly on d 0, 16, 27 and 35. The first two doses were injected with adjuvants. On d 0, a serum sample was collected from the rabbit before immunization and this pre-immunized serum was used as a negative control for the whole study. To evaluate the immunogenic responses of the injected antigen, serum samples were collected from the rabbit at regular intervals up to d 42. The sera were analyzed using inhouse ELISA and Western blot techniques.RESULTS： The production of anti Hpylor/IgG antibodies in the rabbit in response to the injected antigen increased almost exponentially up to d 14 and after that it was maintained at the same level until the last day （d 42）. By analyzing the immune profiles of immunized sera, 11 proteins were identified to be immunogenic, among them 2 （approximately 100 kDa and 85 kDa） were most prominent. CONCLUSION： Analysis of the immune responses against pathogenic microorganisms like H py/ori is necessary for the development of various diagnostic and preventive approaches. The results of this experiment reveal that the formalin-fixed H pylori whole cell antigens injected into the rabbit are highly immunogenic. These prominent proteins （approximately 100 kDa and 85 kDa） might have higher immunogenic effects among humans infected with H pylori and some of these immunogenic proteins can be included in diagnostic approaches based on serology and also for vaccine formulation. The in- house ELISA is a promising alternative compared to invasive techniques.

关键词： Hpylori Whole cell antigen Immunogenicity Rabbit Serum antibody kinetics In-house enzyme-linkedimmunosorbent assay

Classifying Misinformation of User Credibility in Social Media Using Supervised Learning

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Computers, Materials & Continua 2023年第5期75卷 2921-2938页

作者： Muhammad Asfand-e-Yar Qadeer Hashir Syed Hassan Tanvir Wajeeha khalil Department of Computer Science Center of Excellence in Artificial Intelligence(CoE-AI)Bahria UniversityIslamabad44000Pakistan Department of Computer Science and Information Technology University of Engineering and TechnologyPeshawar25000Pakistan

The growth of the internet and technology has had a significant effect on social *** information has become an important research topic due to the massive amount of misinformed content on social *** is very easy for any user to spread misinformation through the ***,misinformation is a problem for professionals,organizers,and ***,it is essential to observe the credibility and validity of the News articles being shared on social *** core challenge is to distinguish the difference between accurate and false *** studies focus on News article content,such as News titles and descriptions,which has limited their ***,there are two ordinarily agreed-upon features of misinformation:first,the title and text of an article,and second,the user *** the case of the News context,we extracted different user engagements with articles,for example,tweets,i.e.,read-only,user retweets,likes,and *** calculate user credibility and combine it with article content with the user’s *** combining both features,we used three Natural language processing(NLP)feature extraction techniques,i.e.,Term Frequency-Inverse Document Frequency(TF-IDF),Count-Vectorizer(CV),and Hashing-Vectorizer(HV).Then,we applied different machine learning classifiers to classify misinformation as real or ***,we used a Support Vector Machine(SVM),Naive Byes(NB),Random Forest(RF),Decision Tree(DT),Gradient Boosting(GB),and K-Nearest Neighbors(KNN).The proposed method has been tested on a real-world dataset,i.e.,“fakenewsnet”.We refine the fakenewsnet dataset repository according to our required *** dataset contains 23000+articles with millions of user *** highest accuracy score is 93.4%.The proposed model achieves its highest accuracy using count vector features and a random forest *** discoveries confirmed that the proposed classifier would effectively classify misinformat

关键词： Misinformation user credibility fake news machine learning