International Journal For Multidisciplinary Research

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Access Control System Using AI and Blockchain

Author(s) SAQIB AHAD KHAN, Sona Mohammad Idrees Shamshuddin, N. Srinivasan, G Kalaiarasi, Dr. M Selvi
Country India
Abstract The demands of a hyperconnected society that demand increased security, transparency, and user autonomy cause traditional access control to crumble. This abstract investigates how combining blockchain technology with artificial intelligence could revolutionize access control systems. By removing single points of failure and increasing accountability, blockchain's distributed ledger technology (DLT) creates irreversible trust via a shared, tamper-proof database of rights and transactions. By automating policies, smart contracts give people command over their digital assets. AI adds intelligence and flexibility. Real-time machine learning systems detect anomalies, dynamically assess behavior, and modify policy. Access requests are filtered by AI-driven risk assessment, and sensitive resources are protected by improved identity verification. The combination of AI's dynamic powers and blockchain's unchangeable base opens the door to a future where safe, user-focused access is commonplace.
Keywords Artificial Intelligence, Blockchain, Decentralised databse, Autonomous, Transparent, Secure
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-14
Cite This Access Control System Using AI and Blockchain - SAQIB AHAD KHAN, Sona Mohammad Idrees Shamshuddin, N. Srinivasan, G Kalaiarasi, Dr. M Selvi - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16688
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.16688
Short DOI https://doi.org/gtqxxw
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