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Designing a Locating Scams for Mobile Transaction with the Aid of Operational Activity Analysis in Cloud

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Abstract

Regularly the scam threat entails intended scams performed for gaining profits and the goal is to focus on this domain of services aiding payments with the electronic money. Precisely the usage of tools for prognostic safety estimation at the time of execution monitors the operational performance with respect to payments within money payment service and attempts to equalize them with the anticipated performance offered by the operational framework. The assessment variations from the specified performance required for abnormalities representing probable mishandling of the services in terms of money laundering behaviours. The assessment of the applications in terms of the designed scheme offering calibrations based on estimation and detection behaviour of the prognostic safety estimator created employed real-time processing and assessed logs. The intention of the analysis is to locate the mishandling prototypes imitating given money laundering mechanism in an artificial operational performance based on the features seized from the real-time payment actions with cloud infrastructure.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamil Nadu, India

    Ramesh Chandran

  2. School of Computing Sciences and Engineering, Galgotias University, Greater Noida, India

    S. Rakesh Kumar & N. Gayathri

Authors
  1. Ramesh Chandran
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  2. S. Rakesh Kumar
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  3. N. Gayathri
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Correspondence to Ramesh Chandran.

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Chandran, R., Kumar, S.R. & Gayathri, N. Designing a Locating Scams for Mobile Transaction with the Aid of Operational Activity Analysis in Cloud. Wireless Pers Commun 117, 3015–3028 (2021). https://doi.org/10.1007/s11277-020-07302-5

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