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
On the Development of Smart-Watch Detection Using C 5.0 and S 5.24.1
Algorithms
Philip Seths Onyekachi., Amanze Bethran Chibuike., Igbe Chukwudi M
Abstract
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.
keywords: Smart watch, C 5.0 , S 5.24.1 and IOT
References:
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Panigrahi, S., Kundu, A., Sural, S. and Majumdar, A. K. (2019) “Credit card fraud detection: a
fusion approach using dempstershafer theory and bayesian learning,” Information Fusion,
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Rani, S. L. (2018) Smart Banking Using IoT. Computer Science & Engineering Department Prof
Ram Meghe College of Engineering and Management, Badnera Amravati, India
Bhalinder, K., Shivinder, K. (2020) Overview Of Intelligent Systems. International Journal of
Computing & Business Research ISSN (Online): 2229-6166
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