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| 1 | Adjuvant chemotherapy with S-1 plus oxaliplatin improves survival of patients with gastric cancer after D2 gastrectomy: A multicenter propensity score-matched study显示文摘AIM To investigate the safety and efficacy of S-1 plus oxaliplatin(SOX) as an adjuvant chemotherapy regimen in gastric cancer(GC) after D2 dissection.METHODS GC Patients who underwent D2 gastrectomy from September 2009 to December 2011 in four Chinese institutions were enrolled. Patients with stage ⅠB-ⅢC GC, who received adjuvant SOX treatment were matched by propensity scores with those who underwent surgery alone and those who conducted capecitabine plus oxaliplatin(XELOX) regimen. Disease-free survival(DFS) and overall survival(OS) were compared among the groups. In addition, adverse events in SOX patients were analyzed.Of 1944 GC patients who underwent D2 dissection, 867 were included for analysis. One hundred and seventeen patients treated with SOX were matched to 234 patients who conducted surgery alone. Fifty-seven patients treated with SOX were matched to 57 patients who received XELOX. The estimated five-year DFS was 57.5% in the adjuvant SOX group which was higher than that(44.6%) in the surgery alone group(P = 0.001); and the estimated five-year OS was 68.3% which was higher than that(45.8%) of surgery alone group(P < 0.001). Survival benefit was also revealed in stage III and > 60 years old subgroups(P < 0.001 and P = 0.015, respectively). Compared with XELOX regimen, SOX showed no significant difference in DFS(P = 0.340) and OS(P = 0.361). The most common ≥ 3 grade adverse events of SOX regimen were neutropenia(22.6%), leukopenia(8.9%) and thrombocytopenia(5.6%).CONCLUSION Compared with surgery alone, SOX regimen significantly improves the long-term survival and has acceptable toxicity in patients with stage ⅠB-ⅢC GC after D2 dissection. It may be a novel adjuvant chemotherapy regimen in GC patients. | Deng-Feng Ren Fang-Chao Zheng Jun-Hui Zhao Guo-Shuang Shen Raees Ahmad Shui-Sheng Zhang Yu Zhang Jie Kan Li Dong Zi-Yi Wang Fu-Xing Zhao Jiu-Da Zhao | 2018 | World Journal of Clinical Cases2018，6，10： | 7 |
| 2 | An Analysis of Integrating Machine Learning in Healthcare for Ensuring Confidentiality of the Electronic Records显示文摘The adoption of sustainable electronic healthcare infrastructure has revolutionized healthcare services and ensured that E-health technology caters efficiently and promptly to the needs of the stakeholders associated with healthcare.Despite the phenomenal advancement in the present healthcare services,the major obstacle that mars the success of E-health is the issue of ensuring the confidentiality and privacy of the patients’data.A thorough scan of several research studies reveals that healthcare data continues to be the most sought after entity by cyber invaders.Various approaches and methods have been practiced by researchers to secure healthcare digital services.However,there are very few from the Machine learning(ML)domain even though the technique has the proactive ability to detect suspicious accesses against Electronic Health Records(EHRs).The main aim of this work is to conduct a systematic analysis of the existing research studies that address healthcare data confidentiality issues through ML approaches.B.A.Kitchenham guidelines have been practiced as a manual to conduct this work.Seven well-known digital libraries namely IEEE Xplore,Science Direct,Springer Link,ACM Digital Library,Willey Online Library,PubMed(Medical and Bio-Science),and MDPI have been included to performan exhaustive search for the existing pertinent studies.Results of this study depict that machine learning provides a more robust security mechanism for sustainable management of the EHR systems in a proactive fashion,yet the specified area has not been fully explored by the researchers.K-nearest neighbor algorithm and KNIEM implementation tools are mostly used to conduct experiments on EHR systems’log data.Accuracy and performance measure of practiced techniques are not sufficiently outlined in the primary studies.This research endeavour depicts that there is a need to analyze the dynamic digital healthcare environment more comprehensively.Greater accuracy and effective implementation of ML-based models are the need of the day for ensuring the confidentiality of EHRs in a proactive fashion. | Adil Hussain Seh Jehad F.Al-Amri Ahmad F.Subahi Alka Agrawal Nitish Pathak Rajeev Kumar Raees Ahmad Khan | 2022 | Computer Modeling in Engineering & Sciences2022，，3： | 1 |
| 3 | Integrating Blockchain Technology into Healthcare Through an Intelligent Computing Technique显示文摘The blockchain technology plays a significant role in the present era of information technology.In the last few years,this technology has been used effectively in several domains.It has already made significant differences in human life,as well as is intended to have noticeable impact in many other domains in the forthcoming years.The rapid growth in blockchain technology has created numerous new possibilities for use,especially for healthcare applications.The digital healthcare services require highly effective security methodologies that can integrate data security with the availablemanagement strategies.To test and understand this goal of security management in Saudi Arabian perspective,the authors performed a numerical analysis and simulation through a multi criteria decision making approach in this study.The authors adopted the fuzzy Analytical Hierarchy Process(AHP)for evaluating the effectiveness and then applied the fuzzy Technique forOrder of Preference by Similarity to Ideal Solution(TOPSIS)technique to simulate the validation of results.For eliciting highly corroborative and conclusive results,the study referred to a real time project of diabetes patients’management application of Kingdom of Saudi Arabia(KSA).The results discussed in this paper are scientifically proven and validated through various analysis approaches.Hence the present study can be a credible basis for other similar endeavours being undertaken in the domain of blockchain research. | Asif Irshad Khan Abdullah Saad Al-Malaise ALGhamdi Fawaz Jaber Alsolami Yoosef B.Abushark Abdulmohsen Almalawi Abdullah Marish Ali Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2022 | Computers, Materials & Continua2022，，2： | 1 |
| 4 | Hybrid Computational Modeling for Web Application Security Assessment显示文摘Transformation from conventional business management systems to smart digital systems is a recurrent trend in the current era.This has led to digital revolution,and in this context,the hardwired technologies in the software industry play a significant role However,from the beginning,software security remains a 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 as well.Most of the data breaches are financially motivated,especially in the healthcare sector.The cyber invaders continuously penetrate the E-Health data because of the high cost of the data on the dark web.Therefore,security assessment of healthcare web-based applications demands immediate intervention mechanisms to weed out the threats of cyber-attacks.The aim of this work is to provide efficient and effective healthcare web application security assessment.The study has worked with the hybrid computational model of Multi-Criteria Decision Making(MCDM)based on Analytical Hierarchy Process(AHP)and Technique for Order of Preference by Similarity to Ideal-Solutions(TOPSIS)under the Hesitant Fuzzy(HF)environment.Hesitant fuzzy sets provide effective solutions to address decision making problems where experts counter hesitation to make a decision.The proposed research endeavor will support designers and developers in identifying,selecting and prioritizing the best security attributes for web applications’development.The empirical analysis concludes that Robustness got highest priority amongst the assessed security attributes set followed by Encryption,Authentication,Limit Access,Revoke Access,Data Validation,and Maintain Audit Trail.The results of this research endeavor depict that this proposed computational procedure would be the most conversant mechanism for determining the web application security.The study also establishes guidelines which the developers can refer for the identification and prioritization of security attributes to build more secure and trustworthy web-based applications. | Adil Hussain Seh Jehad F.Al-Amri Ahmad F.Subahi Md Tarique Jamal Ansari Rajeev Kumar Mohammad Ubaidullah Bokhari Raees Ahmad Khan | 2022 | Computers, Materials & Continua2022，，1： | 1 |
| 5 | Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic显示文摘The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020,provide critical research criteria to assess the vulnerabilities of our current health system.The paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness,about public health and healthcare mechanisms.In view of this unprecedented health crisis,distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages,and with the higher efficacy.At the implementation level,blockchain integration,early detection and avoidance of an outbreak,identity protection and safety,and a secure drug supply chain can be realized.At the opposite end of the continuum,artificial intelligence methods are used to detect corona effects until they become too serious,avoiding costly drug processing.The paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic scenarios.This paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational factors.This paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system. | Mohammed Baz Sabita Khatri Abdullah Baz Hosam Alhakami Alka Agrawal Raees Ahmad Khan | 2022 | Computer Systems Science & Engineering2022，40，2： | 1 |
| 6 | Impact Assessment of COVID-19 Pandemic Through Machine Learning Models显示文摘Ever since its outbreak in the Wuhan city of China,COVID-19 pandemic has engulfed more than 211 countries in the world,leaving a trail of unprecedented fatalities.Even more debilitating than the infection itself,were the restrictions like lockdowns and quarantine measures taken to contain the spread of Coronavirus.Such enforced alienation affected both the mental and social condition of people significantly.Social interactions and congregations are not only integral part of work life but also form the basis of human evolvement.However,COVID-19 brought all such communication to a grinding halt.Digital interactions have failed to enthuse the fervor that one enjoys in face-to-face meets.The pandemic has shoved the entire planet into an unstable state.The main focus and aim of the proposed study is to assess the impact of the pandemic on different aspects of the society in Saudi Arabia.To achieve this objective,the study analyzes two perspectives:the early approach,and the late approach of COVID-19 and the consequent effects on different aspects of the society.We used a Machine Learning based framework for the prediction of the impact of COVID-19 on the key aspects of society.Findings of this research study indicate that financial resources were the worst affected.Several countries are facing economic upheavals due to the pandemic and COVID-19 has had a considerable impact on the lives as well as the livelihoods of people.Yet the damage is not irretrievable and the world’s societies can emerge out of this setback through concerted efforts in all facets of life. | Fawaz Jaber Alsolami Abdullah Saad Al-Malaise ALGhamdi Asif Irshad Khan Yoosef B.Abushark Abdulmohsen Almalawi Farrukh Saleem Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 7 | Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia显示文摘Ever since its outbreak inWuhan,COVID-19 has cloaked the entireworld in a pall of despondency and uncertainty.The present study describes the exploratory analysis of all COVID cases in Saudi Arabia.Besides,the study has executed the forecastingmodel for predicting the possible number of COVID-19 cases in Saudi Arabia till a defined period.Towards this intent,the study analyzed different age groups of patients(child,adult,elderly)who were affected by COVID-19.The analysis was done city-wise and also included the number of recoveries recorded in different cities.Furthermore,the study also discusses the impact of COVID-19 on the economy.For conducting the stated analysis,the authors have created a list of factors that are known to cause the spread of COVID-19.As an effective countermeasure to contain the spread of Coronavirus in Saudi Arabia,this study also proposes to identify the most effective Computer Science technique that can be used by healthcare professionals.For this,the study employs the Fuzzy-Analytic Hierarchy Process integrated with the Technique for Order Performance by Similar to Ideal Solution(F.AHP.TOPSIS).After prioritizing the various Computer Science techniques,the ranking order that was obtained for the different techniques/tools to contain COVID-19 was:A4>A1>A2>A5>A3.Since the Blockchain technique obtained the highest priority,the study recommends that it must be used extensively as an efficacious and accurate means to combat COVID-19. | Abdulaziz Attaallah Masood Ahmad Adil Hussain Seh Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2021 | Computer Modeling in Engineering & Sciences2021，，1： | 0 |
| 8 | Impact of Tools and Techniques for Securing Consultancy Services显示文摘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. | Wael Alosaimi Abdullah Alharbi Hashem Alyami Masood Ahmad Abhishek Kumar Pandey Rajeev Kumar Raees Ahmad Khan | 2021 | Computer Systems Science & Engineering2021，37，6： | 0 |
| 9 | Estimating Usable-Security Through Hesitant Fuzzy Linguistic Term Sets Based Technique显示文摘The apparent contradiction between usability and security has been discussed in the literature for several years.This continuous trade-off requires be acknowledging and handling whenever security solutions are introduced.However,some progressive analysts point out that present security solutions are usually very difficult for several users,and they have expressed a willingness to simplify the security product user experience.Usable security is still mostly unexplored territory in computer science.Which we are all aware with security and usability on many levels,usable security has received little operational attention.Companies have recently focused primarily on usable security.As consumers prefer to discard unsatisfactory solutions,attaining well-balanced degrees of both is a prerequisite for adequate security.Usability should be examined from the viewpoint of security to be properly assessed.The aim of this research study is to explore and discuss universally accepted and solutionindependent factors influencing the perceived usable-security of institutional websites.An integrated Hesitant Fuzzy Linguistic term sets based technique was chosen as the methodology,and the experts and academicians opinion were collected.The use of predetermined selection criteria resulted in the compilation of statistical findings and were used to determine the usable-security of five different instituational websites. | Abdulaziz Attaallah Raees Ahmad Khan | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 10 | An Ensemble Approach to Identify Firearm Listing on Tor Hidden-Services显示文摘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. | Hashem Alyami Mohd Faizan Wael Alosaimi Abdullah Alharbi Abhishek Kumar Pandey Md Tarique Jamal Ansari Alka Agrawal Raees Ahmad Khan | 2021 | Computer Systems Science & Engineering2021，38，8： | 0 |
| 11 | A Framework for Securing Saudi Arabian Hospital Industry: Vision-2030 Perspective显示文摘Recent transformation of Saudi Arabian healthcare sector into a reven-ue producing one has signaled several advancements in healthcare in the country.Transforming healthcare management into Smart hospital systems is one of them.Secure hospital management systems which are breach-proof only can be termed as effective smart hospital systems.Given the perspective of Saudi Vision-2030,many practitioners are trying to achieve a cost-effective hospital management sys-tem by using smart ideas.In this row,the proposed framework posits the main objectives for creating smart hospital management systems that can only be acknowledged by managing the security of healthcare data and medical practices.Further,the proposed framework will also be helpful in gaining satisfactory rev-enue from the healthcare sector by reducing the cost and time involved in mana-ging the smart hospital system.The framework is based on a hybrid approach of three key methods which include:employing the Internet of Medical Things(IoMT)and blockchain methodologies for maintaining the security and privacy of healthcare data and medical practices,and using big data analytics methodol-ogy for raising the funds and revenue by managing the bulk volume of healthcare data.Moreover,the framework will also be helpful for both the patients and the doctors,thus enabling the Kingdom of Saudi Arabia(KSA)to meet its goals of Vision-2030 by ensuring low cost,yet credible,healthcare services. | Hosam Alhakami Abdullah Baz Mohammad Al-shareef Rajeev Kumar Alka Agrawal Raees Ahmad Khan | 2023 | Intelligent Automation & Soft Computing2023，，6： | 0 |
| 12 | Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique显示文摘In recent years,it has been observed that the disclosure of information increases the risk of terrorism.Without restricting the accessibility of information,providing security is difficult.So,there is a demand for time tofill the gap between security and accessibility of information.In fact,security tools should be usable for improving the security as well as the accessibility of information.Though security and accessibility are not directly influenced,some of their factors are indirectly influenced by each other.Attributes play an important role in bridging the gap between security and accessibility.In this paper,we identify the key attributes of accessibility and security that impact directly and indirectly on each other,such as confidentiality,integrity,availability,and severity.The significance of every attribute on the basis of obtained weight is important for its effect on security during the big data security life cycle process.To calculate the proposed work,researchers utilised the Fuzzy Analytic Hierarchy Process(Fuzzy AHP).Thefindings show that the Fuzzy AHP is a very accurate mechanism for determining the best security solution in a real-time healthcare context.The study also looks at the rapidly evolving security technologies in healthcare that could help improve healthcare services and the future prospects in this area. | Fawaz Alassery Ahmed Alzahrani Asif Irshad Khan Kanika Sharma Masood Ahmad Raees Ahmad Khan | 2023 | Computer Systems Science & Engineering2023，44，1： | 0 |
| 13 | A Unified Decision-Making Technique for Analysing Treatments in Pandemic Context显示文摘The COVID-19 pandemic has triggered a global humanitarian disaster that has never been seen before.Medical experts,on the other hand,are undecided on the most valuable treatments of therapy because people ill with this infection exhibit a wide range of illness indications at different phases of infection.Further,this project aims to undertake an experimental investigation to determine which treatments for COVID-19 disease is the most effective and preferable.The research analysis is based on vast data gathered from professionals and research journals,making this study a comprehensive reference.To solve this challenging task,the researchers used the HF AHPTOPSIS Methodology,which is a well-known and highly effective MultiCriteria Decision Making(MCDM)technique.The technique assesses the many treatment options identified through various research papers and guidelines proposed by various countries,based on the recommendations of medical practitioners and professionals.The review process begins with a ranking of different treatments based on their effectiveness using the HF-AHP approach and then evaluates the results in five different hospitals chosen by the authors as alternatives.We also perform robustness analysis to validate the conclusions of our analysis.As a result,we obtained highly corroborative results that can be used as a reference.The results suggest that convalescent plasma has the greatest rank and priority in terms of effectiveness and demand,implying that convalescent plasma is the most effective treatment for SARS-CoV-2 in our opinion.Peepli also has the lowest priority in the estimation. | Fawaz Alsolami Abdullah Saad Al-Malaise Alghamdi Asif Irshad Khan Yoosef B.Abushark Abdulmohsen Almalawi Farrukh Saleem Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 14 | Hesitant Fuzzy-Sets Based Decision-Making Model for Security Risk Assessment显示文摘Security is an important component in the process of developing healthcare web applications.We need to ensure security maintenance;therefore the analysis of healthcare web application’s security risk is of utmost importance.Properties must be considered to minimise the security risk.Additionally,security risk management activities are revised,prepared,implemented,tracked,and regularly set up efficiently to design the security of healthcare web applications.Managing the security risk of a healthcare web application must be considered as the key component.Security is,in specific,seen as an add-on during the development process of healthcare web applications,but not as the key problem.Researchers must ensure that security is taken into account right from the earlier developmental stages of the healthcare web application.In this row,the authors of this study have used the hesitant fuzzy-based AHP-TOPSIS technique to estimate the risks of various healthcare web applications for improving security-durability.This approach would help to design and incorporate security features in healthcare web applications that would be able to battle threats on their own,and not depend solely on the external security of healthcare web applications.Furthermore,in terms of healthcare web application’s security-durability,the security risk variable is measured,and vice versa.Hence,the findings of our study will also be useful in improving the durability of several web applications in healthcare. | Ahmed S.Alfakeeh Abdulmohsen Almalawi Fawaz Jaber Alsolami Yoosef B.Abushark Asif Irshad Khan Adel Aboud S.Bahaddad Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2022 | Computers, Materials & Continua2022，，2： | 0 |
| 15 | Evaluating the Impacts of Security-Durability Characteristic:Data Science Perspective显示文摘Since the beginning of web applications,security has been a critical study area.There has been a lot of research done to figure out how to define and identify security goals or issues.However,high-security web apps have been found to be less durable in recent years;thus reducing their business continuity.High security features of a web application are worthless unless they provide effective services to the user and meet the standards of commercial viability.Hence,there is a necessity to link in the gap between durability and security of the web application.Indeed,security mechanisms must be used to enhance durability as well as the security of the web application.Although durability and security are not related directly,some of their factors influence each other indirectly.Characteristics play an important role in reducing the void between durability and security.In this respect,the present study identifies key characteristics of security and durability that affect each other indirectly and directly,including confidentiality,integrity availability,human trust and trustworthiness.The importance of all the attributes in terms of their weight is essential for their influence on the whole security during the development procedure of web application.To estimate the efficacy of present study,authors employed the Hesitant Fuzzy Analytic Hierarchy Process(H-Fuzzy AHP).The outcomes of our investigations and conclusions will be a useful reference for the web application developers in achieving a more secure and durable web application. | Abdullah Alharbi Masood Ahmad Wael Alosaimi Hashem Alyami Alka Agrawal Rajeev Kumar Abdul Wahid Raees Ahmad Khan | 2022 | Computer Systems Science & Engineering2022，41，5： | 0 |
| 16 | Managing Security-Risks for Improving Security-Durability of Institutional Web-Applications: Design Perspective显示文摘The advanced technological need,exacerbated by the flexible time constraints,leads to several more design level unexplored vulnerabilities.Security is an extremely vital component in software development;we must take charge of security and therefore analysis of software security risk assumes utmost significance.In order to handle the cyber-security risk of the web application and protect individuals,information and properties effectively,one must consider what needs to be secured,what are the perceived threats and the protection of assets.Security preparation plans,implements,tracks,updates and consistently develops safety risk management activities.Risk management must be interpreted as the major component for tackling security efficiently.In particular,during application development,security is considered as an add-on but not the main issue.It is important for the researchers to stress on the consideration of protection right from the earlier developmental stages of the software.This approach will help in designing software which can itself combat threats and does not depend on external security programs.Therefore,it is essential to evaluate the impact of security risks during software design.In this paper the researchers have used the hybrid Fuzzy AHPTOPSIS method to evaluate the risks for improving security durability of different Institutional Web Applications.In addition,the e-component of security risk is measured on software durability,and vice versa.The paper’s findings will prove to be valuable for enhancing the security durability of different web applications. | Abdulaziz Attaallah Abdullah Algarni Raees Ahmad Khan | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 17 | Sustainable-Security Assessment Through a Multi Perspective Benchmarking Framework显示文摘The current cyber-attack environment has put even the most protected systems at risk as the hackers are nowmodifying technologies to exploit even the tiniest of weaknesses and infiltrate networks.In this situation,it’s critical to design and construct software that is both secure and long-lasting.While security is the most well-defined aspect of health information software systems,it is equally significant to prioritise sustainability because any health information software system will be more effective if it provides both security and sustainability to the customers at the same time.In this league,it is crucial to determine those characteristics in the systems that can help in the accurate assessment of the sustainable-security of the health information software during the development stage.This research work employed the Fuzzy Analytic Network Process(Fuzzy ANP)to estimate the impact of the overall sustainable-security of health information software systems and their characteristics in order to achieve a high level of sustainable-security.Furthermore,the study validates the efficacy of the Fuzzy ANP procedure by testing it on five different versions of a health information software system through Fuzzy Technique for Order of Preference by Similarity to Ideal Solutions(Fuzzy TOPSIS).Despite the sensitivity of the health information software systems,this study employedmultiple versions of health information software system.When compared with the existing procedures for testing the sustainable-security of health information software systems,the outcomes were conclusive and significantly more effective.Besides saving time and resources,the mechanism suggested in this research work aims to establish an outline that software practitioners can follow to enhance the sustainablesecurity of health information software systems. | Ahmed Saeed Alfakeeh Abdulmohsen Almalawi Fawaz Jaber Alsolami Yoosef B.Abushark Asif Irshad Khan Adel Aboud SBahaddad Md Mottahir Alam Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 18 | Evaluating the Impact of Software Security Tactics: A Design Perspective显示文摘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. | Mamdouh Alenezi Abhishek Kumar Pandey Richa Verma Mohd Faizan Shalini Chandra Alka Agrawal Rajeev Kumar Raees Ahmad Khan | 2021 | Computers, Materials & Continua2021，，3： | 0 |
| 19 | Integrity Assessment of Medical Devices for Improving Hospital Services显示文摘The present study examines the various techniques being used to maintain the integrity of the medical devices,and develops a quantitative framework to list these in the sequence of priority.To achieve the intended objective,the study employs the combined procedure of Fuzzy Analytic Network Process(ANP)and Fuzzy Technical for Order Preference by Similarities to Ideal Solution(TOPSIS).We selected fuzzy based decision making techniques for assessing the integrity of medical devices.The suggested methodology was then used for classifying the suitable techniques used to evaluate the integrity of medical devices.Different techniques or the procedures of integrity assessment were ranked according to their satisfaction weights.The rating of the options determined the order of priority for the procedures.As per the findings of the study,among all the options,A1 was assessed to be the most likely option.This means that the integrity of medical devices of A2 is the highest amongst all the chosen alternatives.This analysis will be a corroborative guideline for manufacturers and developers to quantitatively test the integrity of medical devices in order to engineer efficacious devices.The evaluations undertaken with the assistance of the planned procedure are accurate and conclusive.Hence instead of conducting a manual valuation,this experimental study is a better and reliable option for assessing the integrity of the medical devices. | Fahad A.Alzahrani Masood Ahmad Mohd Nadeem Rajeev Kumar Raees Ahmad Khan | 2021 | Computers, Materials & Continua2021，，6： | 0 |
| 20 | A Usability Management Framework for Securing Healthcare Information System显示文摘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. | Hosam Alhakami Abdullah Baz Wajdi Alhakami Abhishek Kumar Pandey Alka Agrawal Raees Ahmad Khan | 2022 | Computer Systems Science & Engineering2022，42，9： | 0 |
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