Title: Hybrid approach for deception tracing in smart cities using LR and n-fold intelligent machine learning techniques

Authors: Kamta Nath Mishra; Ved Prakash Mishra; Shashwat Saket; Shivam Prakash Mishra

Addresses: Department of Computer Science and Engineering, Birla Institute of Technology, Jharkhand, India ' Department of Computer Science and Engineering, Amity University, Dubai, UAE ' Department of Computer Science and Engineering, Birla Institute of Technology, Jharkhand, India ' Department of Computer Science and Engineering, Birla Institute of Technology, Jharkhand, India

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.

DOI: 10.1504/IJMP.2022.124591

International Journal of Management Practice, 2022 Vol.15 No.4, pp.460 - 487

Received: 01 Sep 2020
Accepted: 01 Jun 2021
Published online: 29 Jul 2022 *

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