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     2026:7/1

International Journal of Multidisciplinary Evolutionary Research

ISSN: 3051-3502 (Print) | 3051-3510 (Online) | Impact Factor: 8.40 | Open Access

Fin-Shield AI: Cross-Layer Risk Analytics for Resilient Online Transactions

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Abstract

Mission-critical operations including emergency response, defense communications, energy infrastructure, and industrial control require communication systems that consistently deliver strong security, low latency, and reliable availability, even when facing sophisticated cyber threats. Traditional security protocols such as IPsec and TLS are well-established for general networks but often introduce delays, static trust policies, and overhead that degrade real-time performance under dynamic or adversarial conditions. To address this challenge, this paper introduces the Next-Gen Secure Infrastructure Protocol (NSIP), a layered protocol that integrates adaptive authentication, lightweight cryptography, and Quality-of-Service-aware routing to sustain secure operational continuity. The proposed approach enables context-sensitive re-authentication, forward secrecy, and resistance to replay and man-in-the-middle attacks while optimizing communication for latency-critical data flows. A software prototype is developed and evaluated in a simulated mission-critical environment. Results show that NSIP achieves up to 35% lower end-to-end latency and improved throughput under adversarial load, compared with IPsec-based secure baselines, while maintaining complete message integrity in the presence of attack traffic. These findings demonstrate that NSIP provides a scalable and resilient foundation for next-generation secure infrastructure across diverse mission-critical scenarios.

How to Cite This Article

Wasiqur Rahman (2023). Fin-Shield AI: Cross-Layer Risk Analytics for Resilient Online Transactions . International Journal of Multidisciplinary Evolutionary Research (IJMER), 4(2), 167-173. DOI: https://doi.org/10.54660/IJMER.2023.4.2.167-173

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