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A Usability Management Framework for Securing Healthcare Information System

Computer Systems Science & Engineering 2022年第9期42卷 1015-1030页

作者： Hosam Alhakami Abdullah Baz Wajdi Alhakami abhishek kumar pandey Alka Agrawal Raees Ahmad Khan Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Engineering College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India

Transformation from conventional business management systems tosmart digital systems is a recurrent trend in the current era. This has led to digitalrevolution, and in this context, the hardwired technologies in the software industry play a significant role However, from the beginning, software security remainsa serious issue for all levels of stakeholders. Software vulnerabilities lead to intrusions that cause data breaches and result in disclosure of sensitive data, compromising the organizations’ reputation that translates into, financial losses andcompromising software usability as well. Most of the data breaches are financiallymotivated, especially in the healthcare sector. The cyber invaders continuouslypenetrate the E- Health data because of the high cost of the data on the darkweb. Therefore, security assessment of healthcare web-based applicationsdemands immediate intervention mechanisms to weed out the threats of cyberattacks for the sake of software usability. The proposed disclosure is a unique process of three phases that are combined by researchers in order to produce andmanage usability management framework for healthcare information system. Inthis most threatened time of digital era where, Healthcare data industry has bornethe brunt of the highest number of data breach episodes in the last few years. Thekey reason for this is attributed to the sensitivity of healthcare data and the highcosts entailed in trading the data over the dark web. Hence, usability managementof healthcare information systems is the need of hour as to identify the vulnerabilities and provide preventive measures as a shield against the breaches. The proposed unique developed model of usability management workflow is preparedby associating steps like learn;analyze and manage. All these steps gives an allin one package for the healthcare information management industry because thereis no systematic model available which associate identification to implementationsteps with different evaluation steps.

关键词： Smart healthcare healthcare industry usability security

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Analyzing the Implications of COVID-19 Pandemic through an Intelligent-Computing Technique

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Computer Systems Science & Engineering 2022年第6期41卷 959-974页

作者： abhishek kumar pandey Jehad F.Al-Amri Ahmad F.Subahi Rajeev kumar Raees Ahmad Khan Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia Department of Computer Applications Shri Ramswaroop Memorial UniversityBarabanki225003India

The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2 virus or COVID-19) disease was declared pandemic by the WorldHealth Organization (WHO) on March 11, 2020. COVID-19 has already affectedmore than 211 nations. In such a bleak scenario, it becomes imperative to analyzeand identify those regions in Saudi Arabia that are at high risk. A preemptivestudy done in the context of predicting the possible COVID-19 hotspots wouldfacilitate in the implementation of prompt and targeted countermeasures againstSARS-CoV-2, thus saving many lives. Working towards this intent, the presentstudy adopts a decision making based methodology of simulation named Analytical Hierarchy Process (AHP), a multi criteria decision making approach, forassessing the risk of COVID-19 in different regions of Saudi Arabia. AHP givesthe ability to measure the risks numerically. Moreover, numerical assessments arealways effective and easy to understand. Hence, this research endeavour employsFuzzy based computational method of decision making for its empirical analysis.Findings in the proposed paper suggest that Riyadh and Makkah are the mostsusceptible regions, implying that if sustained and focused preventive measuresare not introduced at the right juncture, the two cities could be the worst afflictedwith the infection. The results obtained through Fuzzy based computationalmethod of decision making are highly corroborative and would be very usefulfor categorizing and assessing the current COVID-19 situation in the Kingdomof Saudi Arabia. More specifically, identifying the cities that are likely to beCOVID-19 hotspots would help the country’s health and medical fraternity toreinforce intensive containment strategies to counter the ills of the pandemic insuch regions.

关键词： COVID-19 Saudi Arabian regions risk assessment dynamics of infection fuzzy AHP

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Impact of Tools and Techniques for Securing Consultancy Services

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Computer Systems Science & Engineering 2021年第6期37卷 347-360页

作者： Wael Alosaimi Abdullah Alharbi Hashem Alyami Masood Ahmad abhishek kumar pandey Rajeev kumar Raees Ahmad Khan Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Application Shri Ramswaroop Memorial UniversityBarabanki225003India

In a digital world moving at a breakneck speed,consultancy services have emerged as one of the prominent resources for seeking effective,sustainable and economically viable solutions to a given crisis.The present day consultancy services are aided by the use of multiple tools and techniques.However,ensuring the security of these tools and techniques is an important concern for the consultants because even a slight malfunction of any tool could alter the results drastically.Consultants usually tackle these functions after establishing the clients’needs and developing the appropriate strategy.Nevertheless,most of the consultants tend to focus more on the intended outcomes only and often ignore the security-specific issues.Our research study is an initiative to recommend the use of a hybrid computational technique based on fuzzy Analytical Hierarchy Process(AHP)and fuzzy Technique for Order Preference by Similarity to Ideal Solutions(TOPSIS)for prioritizing the tools and techniques that are used in consultancy services on the basis of their security features and efficacy.The empirical analysis conducted in this context shows that after implementing the assessment process,the rank of the tools and techniques obtained is:A7>A1>A4>A2>A3>A5>A6>A7,and General Electric McKinsey(GE-McKinsey)Nine-box Matrix(A7)obtained the highest rank.Thus,the outcomes show that this order of selection of the tools and techniques will give the most effective and secure services.The awareness about using the best tools and techniques in consultancy services is as important as selecting the most secure tool for solving a given problem.In this league,the results obtained in this study would be a conclusive and a reliable reference for the consultants.

关键词： Consultancy services fuzzy AHP fuzzy TOPSIS consultancy tools and techniques security evaluation

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Prediction of COVID-19 Pandemic Spread in Kingdom of Saudi Arabia

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Computer Systems Science & Engineering 2021年第6期37卷 313-329页

作者： Abdulaziz Attaallah Sabita Khatri Mohd Nadeem Syed Anas Ansar abhishek kumar pandey Alka Agrawal Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Kingdom of Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia

A significant increase in the number of coronavirus cases can easily be noticed in most of the countries around the world.Inspite of the consistent preventive initiatives being taken to contain the spread of this virus,the unabated increase in the cases is both alarming and intriguing.The role of mathematical models in predicting and estimating the spread of the virus,and identifying various preventive factors dependencies has been found important and effective in most of the previous pandemics like Severe Acute Respiratory Syndrome(SARS)2003.In this research work,authors have proposed the Susceptible-Infectected-Removed(SIR)model variation in order to forecast the pattern of coronavirus disease(COVID-19)spread for the upcoming eight weeks in perspective of Saudi Arabia.The study has been performed by using SIR model with a proposed simplification using average progression for further estimation ofβandγvalues for better curve fittings ratios.The predictive results of this study clearly show that under the current public health interventions,there will be an increase in the COVID-19 cases in Saudi Arabia in the next four weeks.Hence,a set of strong health primitives and precautionary measures are recommended in order to avoid and prevent the further spread of COVID-19 in Saudi Arabia.

关键词： COVID-19 pandemic Saudi Arabia SIR model prediction model

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Evaluating the Impact of Software Security Tactics: A Design Perspective

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Computers, Materials & Continua 2021年第3期66卷 2283-2299页

作者： Mamdouh Alenezi abhishek kumar pandey Richa Verma Mohd Faizan Shalini Chandra Alka Agrawal Rajeev kumar Raees Ahmad Khan College of Computer and Information Sciences Prince Sultan UniversitySaudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknowUttar PradeshIndia Department of Computer Science Babasaheb Bhimrao Ambedkar UniversityLucknowUttar PradeshIndia Department of Computer Application Shri Ramswaroop Memorial UniversityLucknowUttar PradeshIndia

Design architecture is the edifice that strengthens the functionalities as well as the security of web applications.In order to facilitate architectural security from the web application’s design phase itself,practitioners are now adopting the novel mechanism of security tactics.With the intent to conduct a research from the perspective of security tactics,the present study employs a hybrid multi-criteria decision-making approach named fuzzy analytic hierarchy process-technique for order preference by similarity ideal solution(AHP-TOPSIS)method for selecting and assessing multi-criteria decisions.The adopted methodology is a blend of fuzzy analytic hierarchy process(fuzzy AHP)and fuzzy technique for order preference by similarity ideal solution(fuzzy TOPSIS).To establish the efficacy of this methodology,the results are obtained after the evaluation have been tested on fifteen different web application projects(Online Quiz competition,Entrance Test,and others)of the Babasaheb Bhimrao Ambedkar University,Lucknow,India.The tabulated outcomes demonstrate that the methodology of the Multi-Level Fuzzy Hybrid system is highly effective in providing accurate estimation for strengthening the security of web applications.The proposed study will help experts and developers in developing and managing security from any web application design phase for better accuracy and higher security.

关键词： Web application software security security tactics fuzzy AHP fuzzy TOPSIS

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An Ensemble Approach to Identify Firearm Listing on Tor Hidden-Services

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Computer Systems Science & Engineering 2021年第8期38卷 141-149页

作者： Hashem Alyami Mohd Faizan Wael Alosaimi Abdullah Alharbi abhishek kumar pandey Md Tarique Jamal Ansari Alka Agrawal Raees Ahmad Khan Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Application Integral UniversityLucknow226026Uttar PradeshIndia

The ubiquitous nature of the internet has made it easier for criminals to carry out illegal activities online.The sale of illegal firearms and weaponry on dark web cryptomarkets is one such example of it.To aid the law enforcement agencies in curbing the illicit trade of firearms on cryptomarkets,this paper has proposed an automated technique employing ensemble machine learning models to detect the firearms listings on cryptomarkets.In this work,we have used partof-speech(PoS)tagged features in conjunction with n-gram models to construct the feature set for the ensemble model.We studied the effectiveness of the proposed features in the performance of the classification model and the relative change in the dimensionality of the feature set.The experiments and evaluations are performed on the data belonging to the three popular cryptomarkets on the Tor dark web from a publicly available dataset.The prediction of the classification model can be utilized to identify the key vendors in the ecosystem of the illegal trade of firearms.This information can then be used by law enforcement agencies to bust firearm trafficking on the dark web.

关键词： Dark web firearms pistols rifles cryptomarkets vendors

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GeMemiOM: the curated database on genes, putative methylation study targets, and microRNA targets for otitis media

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Journal of Genetics and Genomics 2024年第2期51卷 260-263页

作者： Kondyarpu abhishek Bineet kumar Mohanta Pratima kumari Anshuman Dixit Puppala Venkat Ramchander Institute of Life Sciences Nalco SquareChandrasekharpurBhubaneswarIndia Regional Center for Biotechnology FaridabadHaryanaIndia

Otitis media(OM),the most underrated middle ear disease,often onsets during childhood and gets complicated in susceptible patients.Inflammation of the middle ear(ME)leads to its degradation and abnormal physiological functions.Prolonged ME inflammation sometimes results in lethal secondary complications(Penido et al.,2016).OM is a corroboration of multiple facets that leads to disabling hearing loss and associated complications.Some of the facets constituted are genetic,epigenetic,immunogenetic,anatomical.

关键词： inflammation media

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Perioperative cardiac risks in myasthenia gravis

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World Journal of Clinical Cases 2024年第13期12卷 2147-2150页

作者： Deb Sanjay Nag abhishek Chatterjee Pratap Rudra Mahanty Merina Sam Murari kumar Bharadwaj Department of Anaesthesiology Tata Main HospitalJamshedpur 831001India Department of Anaesthesiology Manipal Tata Medical CollegeJamshedpur 831017India

Myasthenia gravis(MG)is an autoimmune disorder that affects the neuromuscular junction.The primary pathology in MG involves the presence of autoantibodies to acetylcholine receptors(AChRs),which results in qualitative and quantitative reductions in the availability of functional AChRs.Cardiac muscles are also affected,resulting in various perioperative cardiac complications.Antistriational antibodies are commonly reported in MG cases with cardiac involvement.In the presence of thymoma,the prevalence of cardiac manifestations in patients with MG increases to approximately 10%-15%.Cardiac involvement in MG may range from asymptomatic electrocardiogram changes to ventricular tachycardia,myocarditis,conduction disorders,heart failure,and sudden death.Increased incidence of atrial fibrillation,ventricular and supraventricular extra systoles,and prolonged QTc have also been reported in patients with MG.Clinicians should consider the evaluation of autonomic dysfunction and risk of cardiovascular disease in patients with MG.

关键词： Myasthenia Gravis Perioperative period Receptors Cholinergic Anesthesia

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Exploring nitrogen reduction reaction mechanisms in electrocatalytic ammonia synthesis:A comprehensive review

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Journal of Energy Chemistry 2024年第5期92卷 681-697页

作者： abhishek Umesh Shetty Ravi Sankannavar School of Chemical and Materials Science Indian Institute of Technology GoaFarmagudiPonda 403401GoaIndia Department of Chemical Engineering M.S.Ramaiah Institute of TechnologyMSR NagarMSRIT PostBengaluru 560054KarnatakaIndia

The electrochemical nitrogen reduction reaction(eNRR)holds significant promise as a sustainable alternative to the conventional large-scale Haber Bosch process,offering a carbon footprint-free approach for ammonia synthesis.While the process is thermodynamically feasible at ambient temperature and pressure,challenges such as the competing hydrogen evolution reaction,low nitrogen solubility in electrolytes,and the activation of inert dinitrogen(N_(2))gas adversely affect the performance of ammonia production.These hurdles result in low Faradaic efficiency and low ammonia production rate,which pose obstacles to the commercialisation of the process.Researchers have been actively designing and proposing various electrocatalysts to address these issues,but challenges still need to be resolved.A key strategy in electrocatalyst design lies in understanding the underlying mechanisms that govern the success or failure of the electrocatalyst in driving the electrochemical reaction.Through mechanistic studies,we gain valuable insights into the factors affecting the reaction,enabling us to propose optimised designs to overcome the barriers.This review aims to provide a comprehensive understanding of the various mechanisms involved in eNRR on the electrocatalyst surface.It delves into the various mechanisms such as dissociative,associative,Mars-van Krevelen,lithium-mediated nitrogen reduction and surface hydrogenation mechanisms of nitrogen reduction.By unravelling the intricacies of eNRR mechanisms and exploring promising avenues,we can pave the way for more efficient and commercially viable ammonia synthesis through this sustainable electrochemical process by designing an efficient electrocatalyst.

关键词： Green ammonia synthesis Electrolysis Electrocatalysis Nitrogen reductionreaction Electrochemical reaction pathways Reactionmechanism

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Multi-head neural networks for simulating particle breakage dynamics

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Theoretical & Applied Mechanics Letters 2024年第2期14卷 130-141页

作者： abhishek Gupta Barada Kanta Mishra School of Mechanical Sciences Indian Institute of Technology(IIT)GoaPonda 403401India School of Chemical and Materials Science Indian Institute of Technology(IIT)GoaPonda 403401India

The breakage of brittle particulate materials into smaller particles under compressive or impact loads can be modelled as an instantiation of the population balance integro-differential equation.In this paper,the emerging computational science paradigm of physics-informed neural networks is studied for the first time for solving both linear and nonlinear variants of the governing dynamics.Unlike conventional methods,the proposed neural network provides rapid simulations of arbitrarily high resolution in particle size,predicting values on arbitrarily fine grids without the need for model retraining.The network is assigned a simple multi-head architecture tailored to uphold monotonicity of the modelled cumulative distribution function over particle sizes.The method is theoretically analyzed and validated against analytical results before being applied to real-world data of a batch grinding mill.The agreement between laboratory data and numerical simulation encourages the use of physics-informed neural nets for optimal planning and control of industrial comminution processes.

关键词： Particle breakage dynamics Population balance equation Physics-informed neural networks

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