The growth of electronic toll collection has led to more fraud, especially when serious drivers use FASTags to ease traffic congestion to avoid repeat fraud. This study highlights the urgent need for effective enforcement of FASTag fraud. Our system is designed to detect and prevent false phone numbers by analysing key features such as money transfer, vehicle type, phone line type, and location. Construct complex fraud models using advanced techniques in machine learning algorithms: KNN, XG Boost, Logistic Regression, Decision Tree, Random Forest, Naive Bayes Classifier, Gaussian Naive Bayes, ANN, SVM Classifier etc. This model has shown great success with ANN achieving the highest accuracy (99.88%) and F1 score (99.93%). It helps in creating a safer and more reliable system by increasing the validity of FASTag transactions. By using these algorithms, the aim is to reduce fraud and increase the integrity and security of the FASTag system. In addition to increasing the security of electronic toll collection, the system also offers solutions that will reduce FASTag fraud and ensure fairness in payments across vehicle models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Advanced Machine Learning Approaches for Fastag Fraud Detection


    Contributors:


    Publication date :

    2025-03-04


    Size :

    458442 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    FRAUD DIAGNOSTIC MACHINE DETECTION DEVICE

    YOKOTA TOMONORI / SAITO TATSURO | European Patent Office | 2021

    Free access

    FRAUD DETECTION DEVICE, FRAUD DETECTION SYSTEM, FRAUD DETECTION METHOD, AND PROGRAM

    ITO YAMATO / FUKADA MASAHIRO | European Patent Office | 2023

    Free access

    FRAUD DETECTION DEVICE, FRAUD DETECTION SYSTEM, FRAUD DETECTION METHOD, AND PROGRAM

    ITO YAMATO / HAYAKAWA YOSHIFUMI | European Patent Office | 2024

    Free access

    FRAUD DETECTION METHOD, FRAUD DETECTION ELECTRONIC CONTROL UNIT AND FRAUD DETECTION SYSTEM

    KISHIKAWA TAKESHI / UJIIE YOSHIHIRO / MAEDA MANABU et al. | European Patent Office | 2017

    Free access

    FRAUD DETECTION DEVICE AND FRAUD DETECTION METHOD

    FURUKAWA YUSUKE | European Patent Office | 2021

    Free access