Secure Data Sharing in Financial IoT Networks Using Homomorphic Encryption and Distributed Ledger Technologies

This paper addresses the trade-off between network traffic and security in modern digital environments, focusing on how increased traffic affects the strength of encryption and breach rates. Realistic simulations analyze the relationship between network volume and levels of security for insight into how these challenges can be managed effectively. The results emphasize the performance versus robust security measures' balance, pointing towards advanced cryptographic techniques and scalable security solutions. This research helps in providing an understanding of this trade-off so that the optimisation of network performance goes along with high standards on data integrity and protection.

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Publication Details

Published
2025-04-17
DOI
https://doi.org/10.1109/incacct65424.2025.11011289
Citations
2
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
6.49
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article

Secure Data Sharing in Financial IoT Networks Using Homomorphic Encryption and Distributed Ledger Technologies

Amitava Choudhury, Keshav Kaushik, Anil Kumar, Swarnima Gupta et al.
2 citations
Blockchain Technology Applications and Security
6.49
article

Secure Data Sharing in Financial IoT Networks Using Homomorphic Encryption and Distributed Ledger Technologies

Amitava Choudhury, Keshav Kaushik, Anil Kumar, Swarnima Gupta, Sathyanarayanan Sayiram, Nirav Narendrakumar Modh
article en
2 citations

Abstract

This paper addresses the trade-off between network traffic and security in modern digital environments, focusing on how increased traffic affects the strength of encryption and breach rates. Realistic simulations analyze the relationship between network volume and levels of security for insight into how these challenges can be managed effectively. The results emphasize the performance versus robust security measures' balance, pointing towards advanced cryptographic techniques and scalable security solutions. This research helps in providing an understanding of this trade-off so that the optimisation of network performance goes along with high standards on data integrity and protection.

IBM (United States) (US), Uttaranchal University (IN), Pandit Deendayal Energy University (IN), Sharda University (IN), Dehradun Institute of Technology University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Blockchain Technology Applications and Security
6.49
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Secure Data Sharing in Financial IoT Networks Using Homomorphic Encryption and Distributed Ledger Technologies — Amitava Choudhury, Keshav Kaushik, et al. · (2025) | TGRS Research Map | TGRS