INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )
E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 10 NO. 1 2024
DOI: https://doi.org/10.56201/ijcsmt.v10.no1.2024.pg25.36
Philip Seths Onyekachi., Amanze Bethran Chibuike., Igbe Chukwudi M
Smart-Watch as an emerging IoT solution in order to recognize human activities with respect to payment transactions. To implement this, a web application was developed specifically for payment transactions. The Smart-Watch is embedded within the transaction platform to monitor transactions on the IoT platform, and detect when a transaction is suspected to be a fraudulent. For the purpose of classifying transactions, we considered the C5.0 algorithm and S5.24.1 to present reliability of the Smart-Watch. The result from the software developed was tested using Confusion Matrix with a dataset of 100 transactions. The result obtained shows almost 93% of accuracy in detecting fraud using Smart-Watch. The Smart-Watch system has a high accuracy, and it will be a reliable system and also a profitable investment if put into action in the business world.
Smart watch, C 5.0 , S 5.24.1 and IOT
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