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Lightweight Two-Factor Authentication With S-Box Flipping Module for IoT Security 轻量级双因素身份验证与s盒翻转模块物联网安全
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.299003
N. Sivabalan, S. MuruganB.
{"title":"Lightweight Two-Factor Authentication With S-Box Flipping Module for IoT Security","authors":"N. Sivabalan, S. MuruganB.","doi":"10.4018/ijec.299003","DOIUrl":"https://doi.org/10.4018/ijec.299003","url":null,"abstract":"In recent days, the usage of cloud computing in wireless networks offers more advantages to the users by storing resources with less complexity and ease to control. Data security is considered a critical aspect in a cloud computing environment due to the sensitive and confidential information of users stored in IOT. So, this paper introduces a Lightweight and Privacy-Preserving Two-Factor Authentication (TFA) with S-box based Flipping Module (SBFM) to provide data security for a user. The proposed scheme uses Unclonable Function Key (UFK) to provide a better solution for highly-secured cloud computing. Moreover, Reconfigurable Unpredictable Response Value (RURV) helps to generate the different response values for every clock cycle in IoT. Finally, Spartan 6 Field Programmable Gate Array (FPGA) performances of the proposed TFA-RURV-IoT are compared to existing TFA-URV-IoT protocols, whereas the simulation results show that proposed TFA-RURV-IoT achieves better results in terms of LUT, slices and flip flops.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"33 1","pages":"1-24"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76317385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3D Reconstruction Methods Purporting 3D Visualization and Volume Estimation of Brain Tumors 用于脑肿瘤三维可视化和体积估计的三维重建方法
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/IJeC.290296
D. Aju, Sushitha Susan Joseph
{"title":"3D Reconstruction Methods Purporting 3D Visualization and Volume Estimation of Brain Tumors","authors":"D. Aju, Sushitha Susan Joseph","doi":"10.4018/IJeC.290296","DOIUrl":"https://doi.org/10.4018/IJeC.290296","url":null,"abstract":"ThisworkproposestheCrustalgorithmfor3Dreconstructionofbraintumor,aneffectivemechanisminthevisualizationoftumorsforpresurgicalplanning,radiationdosecalculation.DespitethepromisingperformanceofCrustalgorithminreconstructionofStanfordmodels,ithasnotyetbeenconsideredin3Dreconstructionofbraintumor.Validationoftheresultsisdoneusingthecomparisonofthe3Dmodelsfromtwocutting-edgetechniques,namelytheMarchingCubeandtheAlphashapealgorithm.TheobtainedresultshowsthatCrustalgorithmprovidesthebraintumormodelwithanaveragequalityoftrianglemeshesrangingfrom0.85to0.95.Concerningthevisualrealism,thequalityofCrustalgorithmmodelsishigheroncomparisontotheothermodels.Precisionoftumorvolumemeasurementbyconvexhullmethodisanalysedbyrepeatabilityandreproducibility.Thestandarddeviationsofrepeatabilitywerebetween2.03%and3.97%.TheexperimentalresultsshowthatLinearCrustalgorithmproduceshighqualitymesheswithaveragequalityofequilateraltrianglescloseto1.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"58 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80497225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Role and Usage of Social Media in COVID-19: An Analysis of Vaccination-Related Conspiracy Theories 社交媒体在COVID-19中的作用和使用:疫苗相关阴谋论分析
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.295147
Subhabrata Mukherjee
{"title":"Role and Usage of Social Media in COVID-19: An Analysis of Vaccination-Related Conspiracy Theories","authors":"Subhabrata Mukherjee","doi":"10.4018/ijec.295147","DOIUrl":"https://doi.org/10.4018/ijec.295147","url":null,"abstract":"There are various misconceptions related to the COVID-19 and the vaccine. This study attempts to identify the role of social media in spreading the misinformation related to COVID-19 and Vaccination. This study will help the agencies to identify the categories of misconceptions and the vaccination-related conspiracy theories dispersed in the social media. In the analysis, seven clusters were found, and the concept map presents seven general misconceptions categories, similarly six subcategories under vaccination related conspiracy theories were found. This study concludes that vaccination related misconception circulated in social media is a serious issue which could affect the vaccination rate severely. Hence a multipronged tactic should be adopted having the components of counter-information strategy, sharing information from authentic sources, educating the general population to go for rigorous review of the information, and improving the health literacy level.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"25 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80939136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COVID-19 and Implementing E-Mental Health Using the VRIO Strategic Planning Framework COVID-19和利用VRIO战略规划框架实施电子精神卫生
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.299005
Irvin Moore
{"title":"COVID-19 and Implementing E-Mental Health Using the VRIO Strategic Planning Framework","authors":"Irvin Moore","doi":"10.4018/ijec.299005","DOIUrl":"https://doi.org/10.4018/ijec.299005","url":null,"abstract":"Coronavirus has disrupted normalcy for communities and businesses across the globe. With massive shutdowns across the world, organizations were forced to assess their business operations and determine how to sustain in such turbulent times. Mental health clinics faced equivalent barriers as the structure of engaging with clients in a face to face setting was similarly disrupted. The implementation of e-mental health structures were clear targets of change as clinics needed to continue to serve the mentally fragile. Strategic planning calls for thoughtful collaboration, collection, and consideration of the necessary adaptations to meet the mission and vision of the organization. Strategic frameworks like the Value, Rarity, Imitability, and Organization are useful tools for mental health clinics to plan on shifting their operations from an in-person to a virtual environment.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"11 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87622855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating Students Satisfaction in Online Postgraduate Courses Through a Fuzzy Linguistic Approach 用模糊语言学方法评价研究生在线课程学生满意度
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.304380
Yeleny Zulueta-Veliz, Aylin Estrada-Velazco, Yoisbel Tabares-Leon
{"title":"Evaluating Students Satisfaction in Online Postgraduate Courses Through a Fuzzy Linguistic Approach","authors":"Yeleny Zulueta-Veliz, Aylin Estrada-Velazco, Yoisbel Tabares-Leon","doi":"10.4018/ijec.304380","DOIUrl":"https://doi.org/10.4018/ijec.304380","url":null,"abstract":"Student satisfaction provides a students' perception of their educational experiences in an educational setting. As online learning is growing, institutions and instructors have become more interested in knowing what factors influence students' satisfaction in online learning setting. This study presents a novel approach for evaluating students' satisfaction in online postgraduate courses through a fuzzy linguistic approach for computing with words which addresses. Our approach models the students' satisfaction as a linguistic variable which reflects the perceptual nature of this concept; it models the satisfaction evaluation as a linguistic multi-attribute decision-making problem; it gathers perceptions of students according to 14 attributes for 18 online courses; it offers a methodological framework based on the 2-tuple linguistic model for computing with words through which performs a linguistic multi-step incremental aggregation process that outputs at each step partial or global self-contained and informative results expressed in a common linguistic domain.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"47 1","pages":"1-25"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86031377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Malware Analysis Using Classification and Clustering Algorithms 基于分类和聚类算法的恶意软件分析
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/IJeC.290290
M. BalajiK., T. Subbulakshmi
{"title":"Malware Analysis Using Classification and Clustering Algorithms","authors":"M. BalajiK., T. Subbulakshmi","doi":"10.4018/IJeC.290290","DOIUrl":"https://doi.org/10.4018/IJeC.290290","url":null,"abstract":"","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"3 1","pages":"1-26"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91126610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Survey for News Credibility in Social Networks 社交网络中的新闻可信度调查
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.304378
Farah Yasser, Sayed Abdelgaber Abdelmawgoud, A. Idrees
{"title":"A Survey for News Credibility in Social Networks","authors":"Farah Yasser, Sayed Abdelgaber Abdelmawgoud, A. Idrees","doi":"10.4018/ijec.304378","DOIUrl":"https://doi.org/10.4018/ijec.304378","url":null,"abstract":"Text mining has been a vital area that has been linked to some fields of research such as machine learning, data analysis and gathering, and information recovery. To extract knowledge and information, Natural Language Processing (NLP) was used alternative techniques. Text mining analyses unstructured data to provide critical data and information plans in a timely manner. Nowadays everyone uses online communication activities to keep in touch with others in their daily life. As a result, they're a great way to connect. Not sorting in a paragraph in a format suitable for word recognition has become a point of contention. intensity can cause a variety of inconsistencies, such as lexical, semantic, linguistic, and syntactic ambiguities, determining the proper data arrangement. Information and data are required for learning things and reaching knowledge. This paper covered how to use text mining to determine the credibility of news on social media. The findings of this study could be used as the basis for future text mining research.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"103 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85852750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote Sensing Scene Type Classification Using Multi-Trial Vector-Based Differential Evolution Algorithm and Multi-Support Vector Machine Classifier 基于多试向量差分进化算法和多支持向量机分类器的遥感场景类型分类
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.301259
Sandeep Kumar, S. Setty
{"title":"Remote Sensing Scene Type Classification Using Multi-Trial Vector-Based Differential Evolution Algorithm and Multi-Support Vector Machine Classifier","authors":"Sandeep Kumar, S. Setty","doi":"10.4018/ijec.301259","DOIUrl":"https://doi.org/10.4018/ijec.301259","url":null,"abstract":"In recent decades, remote sensing scene type classification becomes a challenging task in remote sensing applications. In this paper, a new model is proposed for multi-class scene type classification in remote sensing images. Firstly, the aerial images are collected from the Aerial Image Dataset (AID), University of California Merced (UC Merced) and REmote Sensing Image Scene Classification 45 (RESISC45) datasets. Next, AlexNet, GoogLeNet, ResNet 18, and Visual Geometric Group (VGG) 19 models are used for extracting feature vectors from the collected aerial images. After feature extraction, the Multi-Trial vector based Differential Evolution (MTDE) algorithm is proposed to choose active feature vectors for better classification and to reduce system complexity and time consumption. The selected active features are fed to the Multi Support Vector Machine (MSVM) for final scene type classification. The simulation results showed that the proposed MTDE-MSVM model obtained high classification accuracy of 99.41%, 99.59% and 99.74% on RESISC45, AID and UC Merced datasets.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"4 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82267208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Business Model Feasibility Evaluation Method for Enterprise Collaborative Business Innovation 企业协同业务创新商业模式可行性评价方法
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/IJeC.290291
Tsung-Yi Chen
{"title":"A Business Model Feasibility Evaluation Method for Enterprise Collaborative Business Innovation","authors":"Tsung-Yi Chen","doi":"10.4018/IJeC.290291","DOIUrl":"https://doi.org/10.4018/IJeC.290291","url":null,"abstract":"","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"56 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91309230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Evaluation of Online Education Efficacy and the Measures to Improve It From the Perspectives of Management Students in the Wake of COVID-19 新型冠状病毒肺炎背景下管理专业学生对网络教育效果的评价及改进措施
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/IJeC.290300
A. Parmar, Ankita Singh
{"title":"An Evaluation of Online Education Efficacy and the Measures to Improve It From the Perspectives of Management Students in the Wake of COVID-19","authors":"A. Parmar, Ankita Singh","doi":"10.4018/IJeC.290300","DOIUrl":"https://doi.org/10.4018/IJeC.290300","url":null,"abstract":"The forced change to adopt the online mode of education delivery for postgraduate students has posed novel challenges. The efficacy of adopted online education in the wake of COVID-19 needs to be examined. The influence of individual student’s behaviour related variables such as nutrition behaviour, Physical activity behaviour and Social Media usage on perceived online education efficacy and attainment of a learning goal is examined in the current study. A total of 185 post-graduate healthcare management students from different educational institutions of India were surveyed. Path Analysis is performed to test the conceptual model. The results highlight that the effect of exercise on the attainment of a learning goal is best at the higher levels of self-study hours and at the lower levels there is a negative relationship between the two. The impact of social media on self-learning hours and the online education efficacy is negative.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"53 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85171015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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