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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

REAL-TIME BANK TRANSACTION FRAUD DETECTION USING KAFKA AND MACHINE LEARNING

CVS.Sree Pranathi D.Sai Anusha G.Chandra Shekar K.Neeraja Jakka.Manju Vani Kaira.Anoosha

Computer Science and Engineering CMR Engineering College Hyderabad Telangana India
DOI:https://doi.org/10.55041/ijcope.v2i4.050

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The increasing volume of online financial transactions has significantly raised the risk of fraudulent activities, making real-time fraud detection a critical requirement for modern digital systems. Conventional fraud detection methods, which rely on batch processing and static rules, are often ineffective in identifying fraudulent transactions promptly. This project presents a real-time fraud detection system that combines Apache Kafka and machine learning to provide fast, scalable, and accurate fraud identification. Apache Kafka is utilized as a distributed streaming platform to ingest and process high-velocity transaction data in real time, ensuring low latency and high reliability. Machine learning models are trained on historical transaction data to learn complex patterns and behaviors associated with fraudulent activities. These models analyze incoming transaction streams and classify them as legitimate or fraudulent based on features such as transaction amount, frequency, location, and user behavior.

How to Cite this Paper

Pranathi, C., Anusha, D., Shekar, G., K.Neeraja, , Vani, J. & Kaira.Anoosha, (2026). Real-Time Bank Transaction Fraud Detection Using Kafka and Machine Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.050

Pranathi, CVS.Sree, et al.. "Real-Time Bank Transaction Fraud Detection Using Kafka and Machine Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.050.

Pranathi, CVS.Sree,D.Sai Anusha,G.Chandra Shekar, K.Neeraja,Jakka.Manju Vani, and Kaira.Anoosha. "Real-Time Bank Transaction Fraud Detection Using Kafka and Machine Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.050.

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References


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  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 05 2026
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