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Detecting Anomalous Transactions via an IoT Based Application: A Machine Learning Approach for Horse Racing Betting.

Moohong Min1, Jemin Justin Lee2, Hyunbeom Park3

  • 1Department of Information Security, School of Cybersecurity, Korea University, Seoul 02841, Korea.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using time series machine learning to detect and prevent fraudulent gambling activities in IoT-based applications. It analyzes user location validation to identify and mitigate abnormal betting patterns, enhancing online security.

Keywords:
Internet of Thingsanomaly detectionbig datacyber securityhorse racingmachine learningmobile sensorstime series datatransaction data

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Data Science

Background:

  • Technological advancements enable global gambling via web and mobile apps.
  • Strict regulations aim to curb gambling addiction and fraud, yet unlawful acts persist.
  • The Walkerhill Hotel incident highlights vulnerabilities in IoT-based gambling applications.

Purpose of the Study:

  • To investigate location validation logic in smartphone IoT applications for threat detection.
  • To analyze gambling transaction data for anomalous activities.
  • To propose and evaluate methods for detecting and preventing online gambling fraud.

Main Methods:

  • Analysis of user location validation in IoT applications.
  • Utilizing time series machine learning algorithms on gambling transaction data.
  • Comparative analysis of existing and novel anomaly detection techniques.

Main Results:

  • Identification of anomalous activities and transactions in gambling applications.
  • Demonstration of the effectiveness of proposed anomaly detection methods.
  • Insights into the vulnerabilities of IoT-based location authentication systems.

Conclusions:

  • The proposed method effectively detects and prevents anomalies in IoT-based gambling.
  • Enhanced technical inspections and systems are crucial for combating unlawful internet gambling.
  • This research contributes to securing the evolving landscape of online gambling platforms.