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Securing Cloud-Encrypted Data:Detecting Ransomware-as-a-Service(RaaS)Attacks through Deep Learning Ensemble

Computers, Materials & Continua 2024年第4期79卷 857-873页

作者： Amardeep Singh Hamad Ali Abosaq Saad Arif Zohaib Mushtaq muhammad Irfan Ghulam Abbas arshad Ali Alanoud Al Mazroa School of Computer Information Sciences University of CumberlandsWilliamsburgKentucky40769USA Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering The University of LahoreLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.

关键词： Cloud encryption RaaS ensemble threat detection deep learning cybersecurity

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ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu

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Intelligent Automation & Soft Computing 2024年第2期39卷 301-317页

作者： Aiman muhammad arshad Bilal Khan Khalil Khan Ali Mustafa Qamar Rehan Ullah Khan Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan Department of Computer Science School of Engineering and Digital SciencesNazarbayev UniversityAstanaKazakhstan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text,with an emphasis on the writers’ages and *** improve the accuracy of AP tasks,the study develops an ensemble model dubbed ABMRF that combines AdaBoostM1(ABM1)and Random Forest(RF).The work uses an extensive technique that involves textmessage dataset pretreatment,model training,and *** evaluate the effectiveness of several machine learning(ML)algorithms in classifying age and gender,including Composite Hypercube on Random Projection(CHIRP),Decision Trees(J48),Na飗e Bayes(NB),K Nearest Neighbor,AdaboostM1,NB-Updatable,RF,andABMRF,they are *** findings demonstrate thatABMRFregularly beats the competition,with a gender classification accuracy of 71.14%and an age classification accuracy of 54.29%,*** metrics like precision,recall,F-measure,Matthews Correlation Coefficient(MCC),and accuracy support ABMRF’s outstanding performance in age and gender profiling *** study demonstrates the usefulness of ABMRF as an ensemble model for author profiling and highlights its possible uses in marketing,law enforcement,and *** results emphasize the effectiveness of ensemble approaches in enhancing author profiling task accuracy,particularly when it comes to age and gender identification.

关键词： Machine learning author profiling AdaBoostM1 random forest ensemble learning text classification

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Crosstalk of liver immune cells and cell death mechanisms in different murine models of liver injury and its clinical relevance

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Hepatobiliary & Pancreatic Diseases International 2017年第3期16卷 245-256页

作者： Hilal Ahmad Khan muhammad Zishan Ahmad junaid Ali Khan muhammad Imran arshad Institute of Microbiology University of Agriculture Faisalabad Pakistan Institute of Pharmacy Physiology and Pharmacology University of Agriculture Faisalabad Pakistan Department of Pathology The University of Faisalabad (TUF) Faisalabad Pakistan

BACKGROUND： Liver inflammation or hepatitis is a result of pluripotent interactions of cell death molecules, cytokines, chemokines and the resident immune cells collectively called as microenvironment. The interplay of these inflammatory mediators and switching of immune responses during hepatotoxic, viral, drug-induced and immune cell-mediated hepatitis decide the fate of liver pathology. The present review aimed to describe the mechanisms of liver injury, its relevance to human liver pathology and insights for the future therapeutic *** SOURCES： The data of mouse hepatic models and rele- vant human liver diseases presented in this review are system- atically collected from PubMed, ScienceDirect and the Web of Science databases published in English. RESULTS： The hepatotoxic liver injury in mice induced by the metabolites of CC14, acetaminophen or alcohol represent ne- crotic cell death with activation of cytochrome pathway, for- mation of reactive oxygen species （ROS） and mitochondrial damage. The Fas or TNF-a induced apoptotic liver injury was dependent on activation of caspases, release of cytochrome c and apoptosome formation. The ConA-hepatitis demonstrat- ed the involvement of TRAIL-dependent necrotic/necroptotic cell death with activation of RIPK1/3. The a-GalCer-induced liver injury was mediated by TNF-a. The LPS-induced hepatitis involved TNF-a, Fas/FasL, and perforin/granzyme cell death pathways. The MHV3 or Poly（I：C） induced liver injury was mediated by natural killer cells and TNF-a signaling. The necrotic ischemia-reperfusion liver injury was mediated by hypoxia, ROS, and pro-inflammatory cytokines; however, necroptotic cell death was found in partial hepatectomy. The crucial role of immune ceils and cell death mediators in viral hepatitis （HBV, HCV）, drug-induced liver injury, non-alcohol- ic fatty liver disease and alcoholic liver disease in human were discussed. CONCLUSIONS： The mouse animal models of hepatitis provide a parallel appro

关键词： liver immunobiology hepatitis therapy mode of cell death

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An Automatic Intrusion Diagnosis Approach for Clouds

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International Journal of Automation and computing 2011年第3期8卷 286-296页

作者： junaid arshad Paul Townend School of Computing University of Leeds

Virtual machines have attracted significant attention especially within the high performance computing community. How- ever, there remain problems with respect to security in general and intrusion detection and diagnosis in particular which underpin the realization of the potential offered by this emerging technology. In this paper, one such problem has been highlighted, i.e., intrusion severity analysis for large-scMe virtual machine based systems, such as clouds. Furthermore, the paper proposes a solution to this prob- lem for the first time for clouds. The proposed solution achieves virtual machine specific intrusion severity analysis while preserving isolation between the security module and the monitored virtual machine. Furthermore, an automated approach is adopted to signif- icantly reduce the overall intrusion response time. The paper includes a detailed description of the solution and an evaluation of our approach with the objective to determine the effectiveness and potential of this approach. The evaluation includes both architectural and experimentM evaluation thereby enabling us to strengthen our approach at an architectural level as well. Finally, open problems and challenges that need to be addressed in order to make further improvements to the proposed approach have been highlighted.

关键词： Intrusion severity virtualization cloud computing intrusion diagnosis intrusion tolerance.

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Computational Fluid Dynamics(CFD) Modeling of Heat Transfer in a Polymeric Membrane using Finite Volume Method

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Journal of Thermal Science 2016年第6期25卷 564-570页

作者： muhammad Ahsan arshad Hussain School of Chemical and Materials Engineering(SCME) National University of Sciences and Technology(NUST)

The efficiency,robustness and reliability of recent numerical methods for finding solutions to flow problems have given rise to the implementation of computational fluid dynamics(CFD) as a broadly used analysis method for engineering problems like membrane separation *** CFD modeling in this study observes steady and unsteady(transient) heat flux and temperature profiles in a polymeric(cellulose acetate) *** study is novel due to the implementation of user defined scalar(UDS) diffusion equation by using user-defined functions(UDFs) infinite volume method(FVM).Some details of the FVM used by the solver are carefully discussed when implementing terms in the governing equation and boundary conditions(BC).The contours of temperature due to high-temperature gradient are reported for steady and unsteady problems.

关键词： unsteady solver scalar polymeric Membrane robustness governing carefully details discretization

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COVID-19 and comorbidities of hepatic diseases in a global perspective

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World Journal of Gastroenterology 2021年第13期27卷 1296-1310页

作者： Aqsa Ahmad Syeda Momna Ishtiaq junaid Ali Khan Rizwan Aslam Sultan Ali muhammad Imran arshad Institute of Microbiology University of Agriculture FaisalabadFaisalabad 38040PunjabPakistan Institute of Physiology and Pharmacology University of Agriculture FaisalabadFaisalabad 38040PunjabPakistan

The worldwide outbreak of coronavirus disease 2019(COVID-19) has challenged the priorities of healthcare system in terms of different clinical management and infection transmission, particularly those related to hepatic-disease comorbidities. Epidemiological data evidenced that COVID-19 patients with altered liver function because of hepatitis infection and cholestasis have an adverse prognosis and experience worse health outcomes. COVID-19-associated liver injury is correlated with various liver diseases following a severe acute respiratory syndrome-coronavirus type 2(SARS-CoV-2) infection that can progress during the treatment of COVID-19 patients with or without pre-existing liver disease. SARS-CoV-2 can induce liver injury in a number of ways including direct cytopathic effect of the virus on cholangiocytes/hepatocytes, immune-mediated damage, hypoxia, and sepsis. Indeed, immediate cytopathogenic effects of SARSCoV-2 via its potential target, the angiotensin-converting enzyme-2 receptor, which is highly expressed in hepatocytes and cholangiocytes, renders the liver as an extra-respiratory organ with increased susceptibility to pathological outcomes. But, underlying COVID-19-linked liver disease pathogenesis with abnormal liver function tests(LFTs) is incompletely understood. Hence, we collated COVID-19-associated liver injuries with increased LFTs at the nexus of pre-existing liver diseases and COVID-19, and defining a plausible pathophysiological triad of COVID-19, hepatocellular damage, and liver disease. This review summarizes recent findings of the exacerbating role of COVID-19 in pre-existing liver disease and vice versa as well as international guidelines of clinical care, management, and treatment recommendations for COVID-19 patients with liver disease.

关键词： Liver disease COVID-19 Pathophysiology Epidemiology Prophylaxis

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Efect of Thermal Annealing on the Physical Properties of Zn_(1-x)Cu_xSe Thin Films Deposited by Close Spaced Sublimation Technique

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Acta Metallurgica Sinica(English Letters) 2013年第6期26卷 699-706页

作者： muhammad Arslan Riaz muhammad arshad Mahmood Rashad Rasheed Department of Applied Physics Federal Urdu University of ArtsSciences and Technology National Institute of Lasers and Optronics

Thin films of Zn1-xCuxSe （x= 0.00, 0.05, 0.10, 0.15, 0.20） were grown on glass substrates by closed space sublimation technique. The deposited films were annealed at 200 ~C and 400 ~C in air for 1 h. The annealed samples have been investigated through Rutherford backscattering spectroscopy （RBS）, X-ray diffraction （XRD）, spectroscopic ellipsometer, spectrophotometer and Raman spectroscopy. Through RBS, the composition of the films was calculated and compared with the initial concentration. Structural characteriza- tion including crystal structure, crystal orientation, lattice parameter, grain size, strain and dislocation density were carried out using XRD data. From XRD spectra it was revealed that the as-deposited and annealed films were polycrystalline in nature with zinc-blende structure. However, the crystallinity and the grain size were improved with the increase of annealing temperature. According to Raman spectroscopy, it was observed that as deposited and annealed samples have the same characteristic vibrational modes of ZnSe at low and high frequency optical phonon modes while another mode was observed for 400 ℃ annealed samples at 745 cm-1. Spectroscopic ellipsometer has been used to found annealing effect on the optical properties of ZnSe. The band gap energy has been determined using transmission spectra. It was found that the band gap energy of the film increased with the increase of annealing temperature.

关键词： Closed space sublimation Annealing effect Structural Transmission Band gap Spectroscopic ellipsometer Raman spectroscopy

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Novel traveling wave solutions and stability analysis of perturbed Kaup-Newell Schrodinger dynamical model and its applications

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Chinese Physics B 2021年第2期30卷 154-163页

作者： Xiaoyong Qian Dianchen Lu muhammad arshad Khurrem Shehzad Faculty of Science Jiangsu UriversityZhenjiang 212013China Department of Mathematics and Statistics University of Agriculture FaisalabadPakistan

We study the traveling wave and other solutions of the perturbed Kaup-Newell Schrodinger dynamical equation that signifies long waves parallel to the magnetic *** wave solutions such as bright-dark(solitons),solitary waves,periodic and other wave solutions of the perturbed Kaup-Newell Schrodinger equation in mathematical physics are achieved by utilizing two mathematical techniques,namely,the extended F-expansion technique and the proposed exp(-φ(ξ))-expansion *** dynamical model describes propagation of pluses in optical fibers and can be observed as a special case of the generalized higher order nonlinear Schrodinger *** engineering and applied physics,these wave results have key ***,the structures of some solutions are presented by giving specific values to *** using modulation instability analysis,the stability of the model is tested,which shows that the model is stable and the solutions are *** techniques can be fruitfully employed to further sculpt models that arise in mathematical physics.

关键词： extended F-expansion method generalized exp(-φ(ξ))-expansion technique perturbed Kaup-Newell Schr?dinger equation traveling wave solutions

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Graphene Nanosheets Decorated with Copper Oxide Nanoparticles for the Photodegradation of Methylene Blue

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Chemical Research in Chinese Universities 2022年第6期38卷 1518-1525页

作者： Samavia RAFIQ Zulfiqar Ali RAZA muhammad ASLAM muhammad junaid BAKHTIYAR Department of Applied Sciences National Textile UniversityFaisalabad37610Pakistan

Textile industries extensively use colorants,such as methylene blue,and if disposed off untreated,they contaminate the effluent streams,causing a severe impact on the environment and aquatic *** degradation has been found as an inevitable approach to treat ***,we decorated the copper oxide nanoparticles on graphene nanosheets during the reflux *** resultant copper oxide/graphene nanocomposites were analyzed for structural and functional *** was observed that on increasing the copper oxide contents,the z-average size of the resultant nanocomposites *** X-ray diffraction analysis demonstrated the crystalline nature of the *** surface morphology of the copper oxide nanoparticles appeared to be spherical and that of the copper oxide/graphene composite somehow *** infrared analysis indicated successful intercalation of precursors in the *** bandgap of copper oxide/graphene nanocomposites varied in the range of 1.03—1.30 eV,which indicated their effective photocatalytic *** results demonstrated that after 120 min of exposure,the methylene blue removal efficiency reached 94.0%,92.2%,and 89.4%(mass fraction)on the copper oxide/graphene nanocomposite at copper oxide nanoparticles to graphene nanosheets ratios of 1:1,1.5:1,and 2:1(mass ratio),*** photodegradation performance of the prepared nano-catalyst was found satisfactory even after five cycles.

关键词： Copper oxide Graphene nanosheet Methylene blue Photocatalysis

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Effect of thermomechanical cyclic quenching and tempering treatments on microstructure,mechanical and electrochemical properties of AISI 1345 steel

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International Journal of Minerals,Metallurgy and Materials 2021年第4期28卷 688-698页

作者： muhammad Arslan Hafeez Ameeq Farooq Kaab Bin Tayyab and muhammad Adnan arshad School of Civil and Environmental Engineering National University of Sciences and TechnologyIslamabad 44000Pakistan Department of Metallurgy&Materials Engineering University of the Punjab54590 LahorePakistan

Thermomechanical cyclic quenching and tempering(TMCT)can strengthen steels through a grain size reduction *** effect of TMCT on microstructure,mechanical,and electrochemical properties of AISI 1345 steel was *** samples heated to 1050℃,rolled,quenched to room temperature,and subjected to various cyclic quenching and tempering heat treatments were named TMCT-1,TMCT-2,and TMCT-3 samples,*** analysis revealed that microstructures of all the treated samples contained packets and blocks of well-refined lath-shaped martensite and retained austenite phases with varying grain sizes(2.8–7.9μm).Among all the tested samples,TMCT-3 sample offered an optimum combination of properties by showing an improvement of 40%in tensile strength and reduced 34%elongation compared with the non-treated *** results were in good agreement with mechanical tests as the TMCT-3 sample exhibited a 51%improvement in indentation hardness with almost identical reduced elastic modulus compared with the non-treated *** electrochemical properties were analyzed in 0.1 M NaHCO_(3) solution by potentiodynamic polarization and electrochemical impedance *** a result of TMCT,the minimum corrosion rate was 0.272 mm/a,which was twenty times less than that of the nontreated *** impedance results showed the barrier film mechanism,which was confirmed by the polarization results as the current density decreased.

关键词： thermomechanical treatment cyclic heat-treatment nanoindentation potentiodynamic polarization electrochemical impedance spectroscopy

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