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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Algorithms and strategies for fraud prevention on online platforms

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  • Algorithms and strategies for fraud prevention on online platforms

Pratibha Sharma *

Engineering Manager, Airbnb, inc, Seattle, USA.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 2220-2225
Article DOI: 10.30574/wjarr.2024.23.2.2462
DOI url: https://doi.org/10.30574/wjarr.2024.23.2.2462
 
Received on 05 July 2024; revised on 20 August 2024; accepted on 23 August 2024
 
The topic of fraud prevention on online platforms is an urgent area in the field of information security and user protection. Modern fraud prevention algorithms and strategies include an integrated approach combining machine learning, analytical tools, and multi-layered protection systems. The key aspects are the detection of anomalies in user behavior, the use of machine learning algorithms to identify suspicious activities, as well as the integration of data verification and verification systems. Behavioral analytical models that help predict and prevent potential threats also play an important role in the fight against fraud. The effectiveness of these methods and strategies depends on their ability to adapt to evolving threats and ensure a balance between security and user convenience.
 
Fraud; Fraud prevention algorithms; Online platforms; Fraud on online platforms
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2462.pdf

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Pratibha Sharma. Algorithms and strategies for fraud prevention on online platforms. World Journal of Advanced Research and Reviews, 2024, 23(2), 2220-2225. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2462

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