Blockchain and AI-Based Threat Detection for Enhanced Security in Financial Networks DOI
Kuldeep Singh, Lakshmi Sevukamoorthy

Published: Dec. 14, 2023

The objective of this study is to comprehensively evaluate the methods enhance cybersecurity in response cyber threats against financial networks. research based on integration blockchain technology and AI-driven threat detection approaches. Our address a notable gap with use Google Trends VOS Viewer software examine scholarly environment related innovative methodology. We examined keywords utilized data visualization techniques represent areas study, wherein we identified key variables emphasized their necessity for future research. To improve our comprehension, employed technique expert mining, which involves collecting significant insights from individuals who possess specialized knowledge respective field. analysis these observations yields compilation essential aspects that are instrumental successful incorporation measures Drawing upon aforementioned aspects, have constructed proposed model presents methodical framework derives policy implications. offers comprehensive many stakeholders, especially institutions regulatory authorities, protocols within study's results underscore importance implementation proactive realm cybersecurity, specifically emphasize potential AI technologies bolster capacity deal threats.

Language: Английский

Blockchain and AI-Based Threat Detection for Enhanced Security in Financial Networks DOI
Kuldeep Singh, Lakshmi Sevukamoorthy

Published: Dec. 14, 2023

The objective of this study is to comprehensively evaluate the methods enhance cybersecurity in response cyber threats against financial networks. research based on integration blockchain technology and AI-driven threat detection approaches. Our address a notable gap with use Google Trends VOS Viewer software examine scholarly environment related innovative methodology. We examined keywords utilized data visualization techniques represent areas study, wherein we identified key variables emphasized their necessity for future research. To improve our comprehension, employed technique expert mining, which involves collecting significant insights from individuals who possess specialized knowledge respective field. analysis these observations yields compilation essential aspects that are instrumental successful incorporation measures Drawing upon aforementioned aspects, have constructed proposed model presents methodical framework derives policy implications. offers comprehensive many stakeholders, especially institutions regulatory authorities, protocols within study's results underscore importance implementation proactive realm cybersecurity, specifically emphasize potential AI technologies bolster capacity deal threats.

Language: Английский

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