Effective fraud detection in e-commerce: Leveraging machine learning and big data analytics

被引：0
|
作者：
Byrapu Reddy, Surendranadha Reddy [1 ]
Kanagala, Praneeth [2 ]
Ravichandran, Prabu [3 ]
Pulimamidi, Dr Rahul [4 ]
Sivarambabu, P.V. [5 ]
Polireddi, Naga Simhadri Apparao [6 ]
机构：
[1] Analyst Information Technology Northeastern University Lincoln Financial Group Atlanta, GA, United States
[2] Information Technology, University of the Cumberlands, Williamsburg,KY, United States
[3] Data Architect, AWS, Amazon, Raleigh,NC, United States
[4] UI Architect/Software Developer, Laboratory Corporation of America Holdings, Durham,NC, United States
[5] Department of CSE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, Guntur, United States
[6] Senior Software Engineer IKON Tech Services LLC Phoenix, AZ, United States
来源：
Measurement: Sensors | 2024年 / 33卷
关键词：
All Open Access; Gold;
D O I：
10.1016/j.measen.2024.101138
中图分类号：
学科分类号：
摘要：
19
引用
收藏
相关论文
共 50 条
  • [1] A Scalable Approach for Fraud Detection in Online E-Commerce Transactions with Big Data Analytics
    Zhou, Hangjun
    Sun, Guang
    Fu, Sha
    Jiang, Wangdong
    Xue, Juan
    CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 60 (01): : 179 - 192
  • [2] Fraud Detection using Machine Learning in e-Commerce
    Saputra, Adi
    Suharjito
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (09) : 332 - 339
  • [3] Fraud Detection in E-commerce Transactions: A Machine Learning Perspective
    Manoharan, Geetha
    Ali, S. Dada Noor Hayath
    Sathe, Manoj
    Karthik, A.
    Nagpal, Amandeep
    Sidana, Ajay
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [4] Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
    Tax, Niek
    de Vries, Kees Jan
    de Jong, Mathijs
    Dosoula, Nikoleta
    van den Akker, Bram
    Smith, Jon
    Thuong, Olivier
    Bernardi, Lucas
    DEPLOYABLE MACHINE LEARNING FOR SECURITY DEFENSE, MLHAT 2021, 2021, 1482 : 30 - 54
  • [5] Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data
    Liu, Jian
    Gu, Xin
    Shang, Chao
    COMPLEXITY, 2020, 2020
  • [6] Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions
    Jhangiani, Resham
    Bein, Doina
    Verma, Abhishek
    2019 IEEE 10TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2019, : 135 - 140
  • [7] Big data analytics in the e-commerce retail industry
    Cheng, Weiwei
    Wang, Jing
    Engineering Intelligent Systems, 2019, 27 (04): : 177 - 184
  • [8] Fraud Detection in E-Commerce
    Alqethami, Sara
    Almutanni, Badriah
    AlGhamdi, Manal
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2021, 21 (06): : 200 - 206
  • [9] Value of Big Data Analytics for Customs Supervision in e-Commerce
    Rukanova, Boriana
    Tan, Yao-Hua
    Slegt, Micha
    Molenhuis, Marcel
    Rijnsoever, Ben van
    Plecko, Krunoslav
    Caglayan, Bora
    Shorten, Gavin
    ELECTRONIC GOVERNMENT (EGOV 2019), 2019, 11685 : 288 - 300
  • [10] E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
    Mutemi, Abed
    Bacao, Fernando
    BIG DATA MINING AND ANALYTICS, 2024, 7 (02): : 419 - 444
12345