Suspicious Transaction Detection In Smart Banking Cyber Physical Systems Based On Deep Ridge Prophet Network

Authors: Ranga Premsai

DOI: https://doi.org/10.5281/zenodo.14280052

Short DOI: https://doi.org/g8ttfr

Country: USA

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Abstract: A smart banking cyber-physical system's (SBCPS) primary focus should be on preventing and detecting fraud. Suspicious transaction detection is an essential component of fraud detection systems, among other forms of financial fraud such as forgery, changed checks, impersonation, and identity theft. Performing early scammer detection is usually not viable. Combining risk infiltration with sensing and detection is necessary to alleviate SBCPS dangers. In order to keep tabs on the credentials that the interacting agent has supplied, a safe and reliable method is very necessary. Less competent, trustworthy, and accurate are the traditional methods offered in the literature. In this study, we introduced a novel approach for detecting suspicious transactions in Smart Banking Cyber-Physical Systems by utilizing the Deep Ridge Prophet Network based on deep learning techniques. Here initially the dataset was retrieved from the public database. Then the data can be processed using the remit norma filter. Then the features can be extracted using the singular value factorization analysis. Then the specialized features can be extracted using a hybrid Adam wave optimization algorithm. Finally, the suspicious transaction was identified using the Deep Ridge Prophet network. The overall experimentation was carried out in a Python environment. From the analysis, it was identified that the proposed method achieved an impressive 99.04% accuracy and a 0.02% error rate in categorizing transactions as genuine or fraudulent. This demonstrates the effectiveness and reliability of the method, offering a time-efficient and high-performance solution for fraud detection in SBCPS, especially critical in the context of post-quantum security. The integration of optimization and deep learning enhances both detection accuracy and system resilience, making it an ideal choice for modern banking systems.

Keywords: smart banking cyber-physical system, Suspicious transaction,Deep Ridge Prophet Network

Paper Id: 231733

Published On: 2021-12-04

Published In: Volume 9, Issue 6, November-December 2021

Cite This: Suspicious Transaction Detection In Smart Banking Cyber Physical Systems Based On Deep Ridge Prophet Network - Ranga Premsai - IJIRMPS Volume 9, Issue 6, November-December 2021. DOI 10.5281/zenodo.14280052

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