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WEB APPLICATION FOR SECURE CONTRACT MANAGEMENT USING SMART CONTRACTS

Author Information
Name: Rakshit Mahajan, Er. Seema Kharod, Ankit Kumar Malik, Shive Prakash, Bharti Attri & Parvesh Saini
Country: India
Publication Details
Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 573-581
DOI: https://doi.org/10.5281/zenodo.19064915
Abstract
ABSTRACT
The next generation of contract management systems faces challenges related to security, transparency, andautomation. Traditional centralized contract platforms are prone to data tampering, unauthorized access, and inefficiencies in execution. By guaranteeing immutability, decentralized execution, and trust less agreements, a
blockchain-based smart contract system can get around these restrictions. A Web3-enabled contract management system that uses Ethereum/Polygon smart contracts for safe, automated, and transparent contract execution is presented in this paper. To improve security and dependability, the platform incorporates IPFS-based decentralized storage, role-based access management, and multi- factor authentication (MFA). Furthermore, an Escrow smart contract mechanism ensures secure financial transactions, releasing funds only upon contract fulfilment. To optimize user experience and efficiency, the system employs a React.js frontend with Web3 authentication and an Express.js API for blockchain interactions. Security enhancements such as Focal Loss for anomaly detection in contract activities, Enhanced IoU (EIoU) for transaction validation, and Coordinate Attention (CA) for fraud prevention are incorporated. Experimental results indicate that this decentralized contract management solution achieves higher security, transparency, and automation, outperforming traditional
centralized platforms while maintaining scalability and efficiency.

Keywords— Web3 Authentication, Escrow Mechanism, Blockchain, Ethereum, Polygon, Decentralized Execution, Role-Based Access Control (RBAC), IPFS Storage, React.js, Express.js, Multi- Factor Authentication (MFA), Anomaly Detection, Focal Loss, Enhanced IoU (EIoU).
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