Hybrid approach for deception tracing in smart cities using LR and n-fold intelligent machine learning techniques
Kamta Nath Mishra,
Ved Prakash Mishra,
Shashwat Saket and
Shivam Prakash Mishra
International Journal of Management Practice, 2022, vol. 15, issue 4, 460-487
Abstract:
One of the fiendishly difficult tasks to perform in this computational era is deceit detection in credit and debit cards. In the current online and digital era recognising authentic identities is important for e-commerce websites so that genuine and fraudulent people could be segregated efficiently. In this paper, logistic regression (LR) and n-fold intelligent machine learning (IML) techniques are used for preventing and detecting the fraud in cloud and IoT connected surroundings. During experimental analysis, authors observed that the methodology proposed in this paper is reliable, accurate, and efficient for identifying the fraud in cloud and IoT-based surroundings of smart city societies.
Keywords: confusion matrix; fraudulent; logistic regression; ROC curve; machine learning; cloud-IoT-based distributed surroundings; mean-recall-score; deception detection. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=124591 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmpra:v:15:y:2022:i:4:p:460-487
Access Statistics for this article
More articles in International Journal of Management Practice from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().