Title: Fraud detection with integrated blockchain technology in secure online payment systems

Authors: Shivaprasad Sakharam More; Sufola Das Chagas Silva E. Araujo; Priyanka Shivaprasad More; Pooja Bagane; Prashantkumar Gavali

Addresses: Department of Computer Science and Engineering, DKTE Society's Textile and Engineering Institute, Rajwada, Ichalkaranji, Maharashtra, 416115, India ' Department of Computer Science and Engineering, Padre Conceicao College of Engineering, Verna, Goa, 403722, India ' Department of Computer Science and Engineering, Sanjay Ghodawat University, Kolhapur, Maharashtra, 416118, India ' Department of Computer Science and Engineering, Symbiosis Institute of Technology, Affiliated to Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India ' Department of Computer Science and Engineering, DKTE Society's Textile and Engineering Institute, Rajwada, Ichalkaranji, Maharashtra, 416115, India

Abstract: Integrating blockchain technology into secure online payment systems enhances cybersecurity by providing decentralised, transparent, and tamper-proof transaction records that significantly reduce fraud and improve data integrity. This study investigates the role of blockchain in strengthening online payment security while addressing challenges such as scalability and transaction speed. It introduces the SIEM-DAC technique, which combines real-time event monitoring with dynamic access control to prevent unauthorised actions. Also, the adaptive context-aware zero trust security policy automation (ACZT-SPA) approach dynamically adjusts security policies based on user behaviour and contextual information. The context-aware anomaly and intrusion detection response (CA-IDR) improves fraud detection by identifying abnormal transaction patterns. Findings show that the proposed blockchain-based framework achieves up to 90% threat detection, 95% system safety and data reliability, and 90% access control efficiency. These findings demonstrate the effectiveness of blockchain integration for secure online payment systems, with future work focusing on scalability and AI-driven fraud detection.

Keywords: security information and event management; DAC; dynamic access control; security policy automation; online payment systems; adaptive context aware system; IDR; intrusion detection response; payment system security.

DOI: 10.1504/IJNVO.2025.151511

International Journal of Networking and Virtual Organisations, 2025 Vol.33 No.3, pp.224 - 250

Received: 10 Jun 2025
Accepted: 26 Nov 2025
Published online: 03 Feb 2026 *

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