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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review 基于机器学习技术的电子商务欺诈检测：系统性文献综述
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020023
Abed Mutemi, F. Bação
{"title":"E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review","authors":"Abed Mutemi, F. Bação","doi":"10.26599/bdma.2023.9020023","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020023","url":null,"abstract":": The e-commerce industry’s rapid growth, accelerated by the COVID-19 pandemic, has led to an alarming increase in digital fraud and associated losses. To establish a healthy e-commerce ecosystem, robust cyber security and anti-fraud measures are crucial. However, research on fraud detection systems has struggled to keep pace due to limited real-world datasets. Advances in artificial intelligence, Machine Learning (ML), and cloud computing have revitalized research and applications in this domain. While ML and data mining techniques are popular in fraud detection, specific reviews focusing on their application in e-commerce platforms like eBay and Facebook are lacking depth. Existing reviews provide broad overviews but fail to grasp the intricacies of ML algorithms in the e-commerce context. To bridge this gap, our study conducts a systematic literature review using the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) methodology. We aim to explore the effectiveness of these techniques in fraud detection within digital marketplaces and the broader e-commerce landscape. Understanding the current state of the literature and emerging trends is crucial given the rising fraud incidents and associated costs. Through our investigation, we identify research opportunities and provide insights to industry stakeholders on key ML and data mining techniques for combating e-commerce fraud. Our paper examines the research on these techniques as published in the past decade. Employing the PRISMA approach, we conducted a content analysis of 101 publications, identifying research gaps, recent techniques, and highlighting the increasing utilization of artificial neural networks in fraud detection within the industry.","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141235310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unstructured Big Data Threat Intelligence Parallel Mining Algorithm 非结构化大数据威胁情报并行挖掘算法
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020032
Zhihua Li, Xinye Yu, Tao Wei, Junhao Qian
{"title":"Unstructured Big Data Threat Intelligence Parallel Mining Algorithm","authors":"Zhihua Li, Xinye Yu, Tao Wei, Junhao Qian","doi":"10.26599/bdma.2023.9020032","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020032","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks 用于大规模物联网网络多类攻击分类的自适应可扩展数据管道
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020027
Selvam Saravanan, Uma Maheswari Balasubramanian
{"title":"An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks","authors":"Selvam Saravanan, Uma Maheswari Balasubramanian","doi":"10.26599/bdma.2023.9020027","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020027","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141232523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt KeyEE：利用辅助关键词子提示增强低资源生成式事件提取能力
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020036
Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang
{"title":"KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt","authors":"Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang","doi":"10.26599/bdma.2023.9020036","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020036","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141235501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage 优化大规模多层存储的数据温度信息流
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020039
Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos
{"title":"Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage","authors":"Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos","doi":"10.26599/bdma.2023.9020039","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020039","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning 利用基于集合的在线机器学习提高电话营销的成功率
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020041
Shahriar Kaisar, Md. Mamunur Rashid, Abdullahi Chowdhury, S. S. Shafin, J. Kamruzzaman, A. Diro
{"title":"Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning","authors":"Shahriar Kaisar, Md. Mamunur Rashid, Abdullahi Chowdhury, S. S. Shafin, J. Kamruzzaman, A. Diro","doi":"10.26599/bdma.2023.9020041","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020041","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business 面向软件定义的分列式开放无线接入网络的 AI/ML 自动化系统：电信业务转型
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020033
Sunil Kumar
{"title":"AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business","authors":"Sunil Kumar","doi":"10.26599/bdma.2023.9020033","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020033","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems 基于 AEFS-KENN 算法的智能大数据安全框架，用于检测来自智能电网系统的网络攻击
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020022
Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui
{"title":"An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems","authors":"Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui","doi":"10.26599/bdma.2023.9020022","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020022","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction 用于电动汽车电池温度预测的改进型量化卷积和循环神经网络
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020028
Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, F. Gauterin
{"title":"Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction","authors":"Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, F. Gauterin","doi":"10.26599/bdma.2023.9020028","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020028","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extending OpenStack Monasca for Predictive Elasticity Control 扩展 OpenStack Monasca 以实现预测性弹性控制
IF 13.6 1区 计算机科学
Big Data Mining and Analytics Pub Date : 2024-06-01 DOI: 10.26599/bdma.2023.9020014
Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
{"title":"Extending OpenStack Monasca for Predictive Elasticity Control","authors":"Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella","doi":"10.26599/bdma.2023.9020014","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020014","url":null,"abstract":"","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":null,"pages":null},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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