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| 1 | 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 |
| 2 | 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 |
| 3 | In vitro integrated control of colletotrichum gloeospori- oides with biological and chemical agents显示文摘 | ADIL HUSSAIN | 2008 | Sarhad J Agric2008，24，1： | 1 |
| 4 | 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 |
| 5 | Association Mapping of Quantitative Trait Loci for Grain Size in Introgression Line Derived from Oryza rufipogon显示文摘Grain size is one of the critical agronomic traits governing grain yield and quality in rice.However,the underlying genetic mechanisms that control grain size in rice are poorly understood.We used an introgression line derived from Zhonghui 8015 and Oryza rufipogon Griff.This introgression line was evaluated under two different environmental conditions to dissect the quantitative trait loci controlling grain size.Genome-wide association study(GWAS)was performed using 28193 SNPs through a general linear model,and 56 significant SNPs on different loci associated with the 4 grain size traits were detected.Cloned genes including GS3 and q GL3 showed substantial effects on grain length and size.Seven new stable loci were identified with pleiotropic effects on grain size.Haplotype,gene expression analyses,combined gene-based associations,and functional annotations permitted the shortlisting of important dominant genes including GS3 and q GL3. | Kashif HUSSAIN ZHANG Yingxing Workie ANLEY Aamir RIAZ Adil ABBAS MdHasanuzzaman RANI WANG Hong SHEN Xihong CAO Liyong CHENG Shihua | 2020 | Rice science2020，27，3： | 0 |
| 6 | Healthcare Device Security Assessment through Computational Methodology显示文摘The current study discusses the different methods used to secure healthcare devices and proposes a quantitative framework to list them in order of significances.The study uses the Hesitant Fuzzy(HF),Analytic Hierarchy Process(AHP)integrated with Fuzzy Technical for Order Preference by Similarities to Ideal Solution(TOPSIS)to classify the best alternatives to security techniques for healthcare devices to securing the devices.The technique is enlisted to rate the alternatives based on the degree of satisfaction of their weights.The ranks of the alternatives consequently decide the order of priority for the techniques.A1 was the most probable alternative of all the alternatives,according to the ranks of the alternatives acquired.This means that the security of A2 healthcare devices is the greatest of all the alternatives picked.A corroborative guide for the developers and the makers in quantitatively determining the security of healthcare devices to engineer efficacious devices will be the findings drawn up with the assistance of the proposed framework.The assessments performed using the proposed framework are systematic,precise,and definitive.Therefore,the results of the present empirical analysis are a stronger and accurate choice than the manual assessment of the device’s security. | Masood Ahmad Jehad F.Al-Amri Ahmad F.Subahi Sabita Khatri Adil Hussain Seh Mohd Nadeem Alka Agrawal | 2022 | Computer Systems Science & Engineering2022，41，5： | 0 |
| 7 | 荫蔽和微生物可在分子水平上调控植物激素以增强植物的耐旱性显示文摘植物在其生命周期内会受到一系列不利环境的影响。其中,干旱胁迫是限制农业生产力的重要因素之一。为了在逆境的环境中得以生存,植物进化出了识别环境胁迫严重性的机制。植物可通过多种方式调节激素活性,以减轻干旱带来的不良影响。受荫蔽和微生物调控,植株的抗旱性提高,产量损失减少。脱落酸、生长素和乙烯等植物激素,可调控多种代谢途径,在荫蔽和微生物介导的植株抗旱性增强过程中起着重要作用。如我们的调控模型所示,CLAVATA3/EMBRYOSURROUNDING REGION-RELATED 25多肽因其可影响ABA合成而在此过程中具有重要作用。 | Muhammad Ahsan Asghar Bushra Ahmad Ali Raza Bilal Adil Hafz Hassan Javed Muhammad Umer Farooq Abuzar Ghafoor Muhammad Iftikhar Hussain Iram Shafq Hassan Karim Xin Sun Wenyu Yang Gábor Kocsy Junbo Du | 2022 | Journal of Plant Ecology2022，15，6： | 0 |
| 8 | Effects of lead(Pb)-induced oxidative stress on morphological and physio-biochemical properties of rice显示文摘In rice,high concentration of lead(Pb)can cause phyto-toxicity affecting several physiological functions.Cultivation of rice varieties that are resistant to Pb-induced oxidative stress is an important management strategy in Pb-contaminated soils.In the current study,we evaluated four different rice cultivars for their response to Pb-induced stress.Three japonica type cultivars X-Jigna,Ediget,and Furat,and one Indica type cultivar Amber 33 were grown in soil containing different Pb concentrations(0 mM,0.6 mM,and 1.2 mM).The soil was treated with 0 mM or 0.6 mM or 1.2 mM Pb solution one month prior to rice seedling transplantation.Thereafter,four-week-old rice seedlings were transplanted into the treated soil and their responses were observed until maturity.The data revealed that a highest concentration of Pb(1.2 mM)induced significant reduction in agronomic traits such as plant height,number of tillers per plant,number of panicles per plant,and number of spikelets per panicle in all the rice cultivars.However,least reduction in the agronomic traits was observed in X-Jigna,whereas the highest reduction in the agronomic traits was observed in Ediget.Antioxidant activity of catalase(CAT),peroxidase(POD),polyphenol oxidase(PPO),and superoxide dismutase(SOD),was evaluated along with the accumulation of superoxide ions(O2.-),protein,proline,chlorophyll,sucrose,glucose,and fructose contents in all the rice cultivars.A significant increase in antioxidant activity and in the accumulation of proline and sucrose contents with the least reduction in the chlorophyll and protein contents was observed in X-Jigna suggesting that X-Jigna is the most tolerant among all the rice cultivars tested against Pb-stress.On the other hand,non-significant and slightly significant increase in the antioxidant activity,less accumulation of proline and sucrose contents,and higher reduction in the chlorophyll and protein contents was observed in Ediget,which further suggest that Ediget is the most susceptible rice cultivar to Pb-stress.In addition,the other rice cultivars Furat and Amber 33,were found to be moderately tolerant to Pb-induced oxidative stress.In summary,our results suggest that tolerance to Pb-induced oxidative stress would be a result of a synergetic action of both enzymatic and non-enzymatic antioxidant systems,leading to a balanced redox status in rice. | MURTAZA KHAN IBA NAZAR IBRAHIM AL AZZAWI MUHAMMAD IMRAN ADIL HUSSAIN BONG-GYU MUN ANJALI PANDE BYUNG-WOOK YUN | 2021 | BIOCELL2021，45，5： | 0 |
| 9 | An Enhanced Intelligent Intrusion Detection System to Secure E-Commerce Communication Systems显示文摘Information and communication technologies are spreading rapidly due to their fast proliferation in many fields.The number of Internet users has led to a spike in cyber-attack incidents.E-commerce applications,such as online banking,marketing,trading,and other online businesses,play an integral role in our lives.Network Intrusion Detection System(NIDS)is essential to protect the network from unauthorized access and against other cyber-attacks.The existing NIDS systems are based on the Backward Oracle Matching(BOM)algorithm,which minimizes the false alarm rate and causes of high packet drop ratio.This paper discussed the existing NIDS systems and different used pattern-matching techniques regarding their weaknesses and limitations.To address the existing system issues,this paper proposes an enhanced version of the BOM algorithm by using multiple pattern-matching methods for the NIDS system to improve the network performance.The proposed solution is tested in simulation with existing solutions using the Snort and NSL-KDD datasets.The experimental results indicated that the proposed solution performed better than the existing solutions and achieved a 5.17%detection rate and a 0.22%lower false alarm rate than the existing solution. | Adil Hussain Kashif Naseer Qureshi Khalid Javeed Musaed Alhussein | 2023 | Computer Systems Science & Engineering2023，47，11： | 0 |
| 10 | Processed Radio Frequency towards Pancreas Enhancing the Deadly Diabetes Worldwide显示文摘Diabetes is a chronic and debilitating disease,which is associated with a range of complications putting tremendous burden on medical,economic and socio-technological infrastructure globally.Yet the higher authorities of health services are facing the excruciating cumulative reasons of diabetes as a very imperative worldwide issue in the 21st century.The study aims to relook at the misapplication of the processed radio frequency that frailties in the pancreas within and around the personal body boundary area.The administered sensor data were obtained at laboratory experiments from the selected specimens on dogs and cats in light and dark environments.The study shows the frequent urine flow speed varies with sudden infection due to treated wireless sensor networks in active open eyes.The overweight and obese persons are increasingly affected in diabetes with comprehensive urinary pressure due to continuous staying at dark environment.The findings replicate the increasing tide of diabetes globally.The study also represents the difficulties of physicians to provide adequate diabetic management according to their expectancy due to insecure personal area network control unit.Dynamic sensor network is indispensable for healthcare but such network is at risk to health security due to digitalized poisoning within GPS positions.The study recommends the anti-radiation integrated system policy with user’s security alternative approach to inspire dealing with National Health Policy and Sustainable Development Goals 2030. | Md.Rahimullah Miah Mohammad Abdul Hannan AAM Shazzadur Rahman Md.Shahariar Khan Md Mokbul Hossain Ishrat Tasnim Rahman Md.Sabbir Hossain Chowdhury Shadman Shahriar Mohammad Basir Uddin Mohammad Taimur Hossain Talukdar Mohammad Shamsul Alam S.A.M.Imran Hossain Alamgir Adil Samdany Shahriar Hussain Chowdhury Alexander Kiew Sayok | 2021 | Journal of Endocrinology Research2021，3，1： | 0 |
| 11 | Adversarial Attacks on Featureless Deep Learning Malicious URLs Detection显示文摘Detecting malicious Uniform Resource Locators(URLs)is crucially important to prevent attackers from committing cybercrimes.Recent researches have investigated the role of machine learning(ML)models to detect malicious URLs.By using ML algorithms,rst,the features of URLs are extracted,and then different ML models are trained.The limitation of this approach is that it requires manual feature engineering and it does not consider the sequential patterns in the URL.Therefore,deep learning(DL)models are used to solve these issues since they are able to perform featureless detection.Furthermore,DL models give better accuracy and generalization to newly designed URLs;however,the results of our study show that these models,such as any other DL models,can be susceptible to adversarial attacks.In this paper,we examine the robustness of these models and demonstrate the importance of considering this susceptibility before applying such detection systems in real-world solutions.We propose and demonstrate a black-box attack based on scoring functions with greedy search for the minimum number of perturbations leading to a misclassication.The attack is examined against different types of convolutional neural networks(CNN)-based URL classiers and it causes a tangible decrease in the accuracy with more than 56%reduction in the accuracy of the best classier(among the selected classiers for this work).Moreover,adversarial training shows promising results in reducing the inuence of the attack on the robustness of the model to less than 7%on average. | Bader Rasheed Adil Khan S.M.Ahsan Kazmi Rasheed Hussain Md.Jalil Piran Doug Young Suh | 2021 | Computers, Materials & Continua2021，，7： | 0 |
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