Volume 22, Issue 2 (9-2025)
JSDP 2025, 22(2): 65-78 |
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Amoli F, Bastam M, Ataei E. A Blockchain-Driven Approach to Automating Event Log Data Integrity and Confidentiality. JSDP 2025; 22 (2) : 4
URL: http://jsdp.rcisp.ac.ir/article-1-1451-en.html
URL: http://jsdp.rcisp.ac.ir/article-1-1451-en.html
University of Mazandaran
Abstract: (26 Views)
Event logs, as the primary source in threat and cyberattack analysis, are of great importance. Ensuring the accuracy and integrity of this data is a fundamental prerequisite for precise threat analysis and making effective security decisions. Blockchain technology, with its decentralized and immutable structure, offers significant potential as a secure and reliable database to ensure the integrity of this data. However, the vast volume of event log data and the high costs of storing it on the blockchain present serious challenges. While numerous studies have been conducted in this area, little attention has been paid to automating the process of ensuring the integrity of this data. In this research, to address this gap, a model is proposed to automatically ensure the integrity of event log data while maintaining its confidentiality, and the implementation of this model and the associated costs are examined. This model, by leveraging the unique features of blockchain, automatically and securely ensures data integrity while also preserving the confidentiality of the data.
Article number: 4
Type of Study: Research |
Subject:
Paper
Received: 2024/12/16 | Accepted: 2025/07/21 | Published: 2025/09/13 | ePublished: 2025/09/13
Received: 2024/12/16 | Accepted: 2025/07/21 | Published: 2025/09/13 | ePublished: 2025/09/13
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