A Hybrid AI-Blockchain Framework for Secure and Resilient Network Infrastructure

Digital networking became the dominant driving force of communication processes within the digital age. Network infrastructure elements that have particular roles must execute their functionality with dependability along with security standards. The present security measures struggle to support operational speed because of ongoing changes in cyber threats. Network security becomes possible through blockchain technology and artificial intelligence application while the network develops its capacity to adapt automatically. System development which starts with AI anomaly detection will enable time-based threat identification to activate decentralized logging through blockchain along with automated response orchestration. An AI model applied on TII-SSRC-23 data increased accuracy of threat detection and the blockchain elements enhanced transparency throughout automated incident response through smart contracts. A successful implementation of this artificial intelligence and Blockchain framework confirmed to the bank that the same methodology could serve as an expandable reliable measure for protecting contemporary network systems against advancing cyber threats.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/icicv64824.2025.11086086
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A Hybrid AI-Blockchain Framework for Secure and Resilient Network Infrastructure

Anup K. Singh, Namrata Dhanda, Kapil Kumar Gupta
Blockchain Technology Applications and Security
article

A Hybrid AI-Blockchain Framework for Secure and Resilient Network Infrastructure

Anup K. Singh, Namrata Dhanda, Kapil Kumar Gupta
article en

Abstract

Digital networking became the dominant driving force of communication processes within the digital age. Network infrastructure elements that have particular roles must execute their functionality with dependability along with security standards. The present security measures struggle to support operational speed because of ongoing changes in cyber threats. Network security becomes possible through blockchain technology and artificial intelligence application while the network develops its capacity to adapt automatically. System development which starts with AI anomaly detection will enable time-based threat identification to activate decentralized logging through blockchain along with automated response orchestration. An AI model applied on TII-SSRC-23 data increased accuracy of threat detection and the blockchain elements enhanced transparency throughout automated incident response through smart contracts. A successful implementation of this artificial intelligence and Blockchain framework confirmed to the bank that the same methodology could serve as an expandable reliable measure for protecting contemporary network systems against advancing cyber threats.

Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Blockchain Technology Applications and Security
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A Hybrid AI-Blockchain Framework for Secure and Resilient Network Infrastructure — Anup K. Singh, Namrata Dhanda, et al. · (2025) | TGRS Research Map | TGRS