Leveraging Nash Equilibrium and Integer Linear Programming for Real-Time Fraud Detection and Optimization in Blockchain Networks

Munna Prasad Gupta, Penmatcha Ganga Puneeth, Aryan Kumar Sah, Sreebha Bhaskaran, Gayathri Ramasamy

2025

Abstract

A blockchain network is a distributed, decentralized, digital ledger that records transactions in more than one computer within a network. Blockchain organizes data in a uniquely secure, transparent and distributed manner that enhances the reliability of the completed transaction providing it with applications such as cryptocurrency, supply chain, voting, decentralized finance and many more. The mobile applications of the blockchain network have several issues which include scalability effects in large transactions, computation resources, longer verification times, security threats, compatibility issues with the platforms, and problems of distributed decision-making issues. Solving these problems calls for rationality in the use of resources, mitigation of transaction inconsistencies, and better defined rules. In this work, we combine Nash Equilibrium with Integer Linear Programming to solve different scenarios in applications of the blockchain network. We contrast the stated Algorithms in various settings to identify which strategy offers the best solution to all of the aforementioned issues, such as low scalability, high energy utilization, substantial latency, and communication discordance among different blockchain networks. The combination of both of these techniques provides a proactive solution to improve the reliability, optimization, and communications capability of blockchain systems, thus paving the way for blockchain technology to fully revolutionize industries around the world.

Paper Citation

in Harvard Style

Gupta M., Puneeth P., Sah A., Bhaskaran S. and Ramasamy G. (2025). Leveraging Nash Equilibrium and Integer Linear Programming for Real-Time Fraud Detection and Optimization in Blockchain Networks. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 12-21. DOI: 10.5220/0013585900004664

in Bibtex Style

@conference{incoft25,
author={Munna Prasad Gupta and Penmatcha Ganga Puneeth and Aryan Kumar Sah and Sreebha Bhaskaran and Gayathri Ramasamy},
title={Leveraging Nash Equilibrium and Integer Linear Programming for Real-Time Fraud Detection and Optimization in Blockchain Networks},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={12-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013585900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Leveraging Nash Equilibrium and Integer Linear Programming for Real-Time Fraud Detection and Optimization in Blockchain Networks
SN - 978-989-758-763-4
AU - Gupta M.
AU - Puneeth P.
AU - Sah A.
AU - Bhaskaran S.
AU - Ramasamy G.
PY - 2025
SP - 12
EP - 21
DO - 10.5220/0013585900004664
PB - SciTePress