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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

An Intelligent Cybersecurity Framework Using Blockchain And Artificial Intelligence

  Authors

  Aryashree G Nair,  Dr. Sudheer S Marar

  Keywords

Artificial Intelligence, Blockchain Technology, Cybersecurity Framework, Intrusion Detection, Decentralized Security, Smart Contracts, Anomaly Detection, Distributed Ledger, Threat Intelligence, Secure Logging

  Abstract


The rapid digitization of modern infrastructures has significantly expanded the scale and complexity of cyber threats. Traditional security mechanisms, primarily dependent on rule-based detection and centralized monitoring, are increasingly inadequate against sophisticated attacks such as advanced persistent threats (APTs), zero-day exploits, ransomware variants, and AI-driven intrusions. In response to these evolving challenges, this study proposes an intelligent cybersecurity framework that integrates Artificial Intelligence (AI) and Blockchain technology to create a decentralized, adaptive, and resilient security architecture. Artificial Intelligence enhances cybersecurity by enabling real-time anomaly detection, predictive threat intelligence, and automated incident response through machine learning and deep learning models. However, AI-based systems often rely on centralized data repositories, making them vulnerable to manipulation and single points of failure. Blockchain technology addresses these limitations by offering decentralized trust management, tamper-proof logging, immutable audit trails, and smart contract- based policy enforcement. The proposed hybrid framework combines AI's analytical capabilities with blockchain's distributed integrity mechanisms. The architecture includes layered components comprising secure data acquisition, AI-driven intelligence processing, decentralized consensus validation, and administrative control interfaces. The system is evaluated using simulated cyberattack scenarios and benchmark intrusion datasets to assess detection accuracy, response latency, system reliability, and resistance to data tampering. Results indicate that the integrated AI-Blockchain model improves detection precision, reduces false positives, enhances log integrity, and minimizes centralized vulnerabilities compared to standalone AI or blockchain solutions. The research concludes that hybrid intelligent architectures represent a promising direction for next-generation cybersecurity systems capable of protecting critical digital ecosystems.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2603034

  Paper ID - 302368

  Page Number(s) - a258-a261

  Pubished in - Volume 14 | Issue 3 | March 2026

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aryashree G Nair,  Dr. Sudheer S Marar,   "An Intelligent Cybersecurity Framework Using Blockchain And Artificial Intelligence", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 3, pp.a258-a261, March 2026, Available at :http://www.ijcrt.org/papers/IJCRT2603034.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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