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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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Blockchain-Integrated Threat Forensics for Large-Scale Networks

Santosh Karajgi
Professor and Head, Department of Pharmaceutical Quality Assurance, BLDEA's SSM College of Pharmacy and Research Centre , India.
Sumit Kumar
Assistant Professor, Department of Computer Science and Engineering, Chandigarh Engineering College, India.
Singh Arri
Professor, Department of Computer Science and Engineering, Lovely Professional University, India.

Keywords: Blockchain-based digital forensics, AI-driven intrusion detection, Cyber threat intelligence, Smart contracts, Evidence integrity, Distributed systems security, IoT forensics, Permissioned blockchain

Abstract

The article presents a framework of Threat Forensics (BITFF) that is a Blockchainbased framework aimed at improving the digital forensic processes to address the constraints of traditional systems, which tend to be difficult to use and prone to manipulation. BITFF incorporates intrusion detection AI and blockchain management into five layers of data acquisition, AI-based detection, blockchain management, forensic intelligence, and controlled access. BITFF can detect with a high accuracy of 97.8% and the false positive rate is low at 2.1% and an average detection latency of 1.8 seconds using an ensemble deep learning architecture. The framework gives evidence integrity greater than 99.6% and gives significant improvements in forensic correlation compared to conventional approaches. BITFF is designed to be highly scalable and resilient, which is why it can be used in largescale applications like IoT and cloud applications and is competitive as a solution to the nextgeneration digital forensics.
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Details
Published
2025-06-28
Pages
1-11
Issue
Vol. 4 No. 2 (2025): IJRTTE - 04 - 02
Section
Articles

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