Multisecurity GAN-Steganography-Blockchain for IoT-Cloud Self-Service Banking

Natampalli, Mangala and Channagangaiah, Kruthika Gottikere and Reddy, Bodi Eswara and Buyya, Rajkumar and Rajuk, Venugopal Kupanna and Iyengar, Sundaraja Sitharama and Patnaik, Lalith Mohan (2026) Multisecurity GAN-Steganography-Blockchain for IoT-Cloud Self-Service Banking. Journal on Internet of Things, 8. pp. 1-30. ISSN 2579-0080

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Abstract:	Contemporary banking focuses on self-service and customer-centric experience by harnessing Internet of Things (IoT) and Cloud Computing. However, these systems remain vulnerable to multifaceted cyberattacks. The IoT-Cloud-based systems can be safeguarded through authentication, confidentiality, integrity, availability, privacy, and non-repudiation. This work proposes a multi-stage security consisting of Generative Adversarial Networks (GAN) for facial authentication, hybrid Curvelet and Least-Significant-Bit (LSB) Steganography for data protection, and Ethereum Blockchain for transactions and storage security to provide complete protection to the self-service pipeline. Customers are authenticated using live images from IoT cameras by GAN facial recognition. Improved data concealment is provided by combining Curvelet and LSB Steganography. Ethereum Blockchain is selected for use in off-chain mode to provide integrity, time-stamping, non-repudiation, and fraud resistance for banking transactions, along with immutable permanent data storage in the Cloud. The Frechet Inception Distance and Inception Score metrics show that the GAN-generated front angle images are accurate, and the Precision, Recall, and F-Measure of 90% ascertain that the facial authentication is correct. Superior imperceptibility of the hybrid Curvelet-LSB Steganography is ascertained by the Peak-Signal-to-Noise-Ratio metric and Histogram analysis. An upload time of less than 3 minutes for fairly large data sizes, and cost-free transactions make Ethereum off-chain a preferred choice. Thus, the proposed multisecurity pipeline assures a highly secure and convenient banking experience for customers.
Item Type:	Journal Paper
Keywords:	IoT-cloud; generative adversarial networks (GAN); steganography; blockchain; security; self-service banking
Subjects:	School of Natural and Engineering Sciences
Divisions:	Schools > Natural Sciences and Engineering
Date Deposited:	20 May 2026 05:59
Last Modified:	20 May 2026 05:59
Official URL:	https://www.techscience.com/jiot/v8n1/66290
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Projects:	*
DOI:	https://doi.org/10.32604/jiot.2026.067726
URI:	http://eprints.nias.res.in/id/eprint/3329

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