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A Study Research on Apache Kafka AI Tool in Fraud Detection Analysis
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence in Fraud Detection Analysi
Abstract
Apache Kafka is widely used in fraud detection systems because it can process large volumes of real-time financial transactions instantly. Banks, fintech companies, and payment platforms use it to detect suspicious activities the moment they occur.
References
[1] AI-Driven Fraud Prevention: Enhancing Security and Customer Experience in Digital Financial Services" (2024) Authors: Nandish Shivaprasad, Indra Reddy Mallela, Shachi Ghanshyam Sayata, Dr. Babita Singh
[2] Streaming Architecture: New Designs Using Apache Kafka and MapR Streams" (2016) Authors: Ted Dunning, Ellen Friedman (O'Reilly Media)
[3] Event Streams in Action: Real-time event systems with Kafka and Kinesis" (2019) Authors: Alexander Dean, Valentin Crettaz (Manning Publications)
[4] Kafka Streams in Action: Real-time apps and microservices with the Kafka Streams API" (2018) Author: Bill Bejeck (Manning Publications)
[5] Big Data in Action: From Algorithms to Scalable Product Solutions 2025" Authors: Dr. Mehraj Ali Usman Ali, Dr. Shakeb Khan
[6] SCARFF: A Scalable Framework for Streaming Credit Card Fraud Detection with Spark" Authors: Jezreel Edriene J. Gotoman et al.
[7] Real-Time Processing with Kafka, ksqlDB & Apache Flink" Authors: Ronak S., Usha J.
[8] Fraud Prevention in Under 60 Seconds with Apache Kafka “Author: Kai Waehner.
How to cite this paper
@article{1715780,
author = {Harish Ramakrishnan, Vishal Patil, Ajay Khumbhar; Achari Mahendran, Muniyarasu Raja; Rahul Subramanian, Shubham Mestri; Vikichand Chouhan},
title = {A Study Research on Apache Kafka AI Tool in Fraud Detection Analysis},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2685-2689},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715780.pdf},
abstract = {Apache Kafka is widely used in fraud detection systems because it can process large volumes of real-time financial transactions instantly. Banks, fintech companies, and payment platforms use it to detect suspicious activities the moment they occur.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715780}
}