Fraud Detection in IoT-Based Financial Transactions Using Anomaly Detection Techniques-Reference-Cited by-同舟云学术

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Fraud Detection in IoT-Based Financial Transactions Using Anomaly Detection Techniques

Published:2024-05-09 Issue: Volume:17 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Kafila ¹,Hassan Mohammad²,Veena Ch³,Singla Atul⁴,Joshi Amit⁵,Lourens Melanie⁶

Affiliation:

1. SR University,School of Business,Warangal,Telangana,India

2. Founder, Sagelance,Dhaka,Bangladesh

3. Institute of Aeronautical Engineering,Dundigal, Hyderabad

4. Lovely Professional University,Phagwara,India

5. Guru Nanak Khalsa Institute of Technology and Management- Technical Campus,Yamunanagar,(Haryana)

6. Durban University of Technology,Deputy Dean Faculty of Management, Sciences,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602423.pdf?arnumber=10602423

Reference12 articles.

1. Anomaly Detection in IoT-Based Financial Transactions Using Support Vector Machines;Smith;IEEE Transactions on Dependable and Secure Computing,2020

2. Hybrid Anomaly Detection Framework for Fraud Detection in IoT Financial Transactions;Zhang;IEEE Internet of Things Journal,2021

3. Blockchain-Based Anomaly Detection System for IoT Financial Transactions;Tang;IEEE Transactions on Information Forensics and Security,2021

4. Predicting Melancholy risk among IT professionals using Modified Deep Learning Neural Network (MDLNN)

5. IoT based Smart Robotic Design for Identifying Human Presence in Disaster Environments Using Intelligent Sensors;T;(AUTOCOM),2024

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