DECENTRALIZED AUTONOMOUS NETWORKS FOR SECURE DATA SHARING: A THEORETICAL FRAMEWORK AND CONCEPTUAL ANALYSIS
Keywords:
Decentralized Autonomous Networks, Secure Data Sharing, Consensus Mechanisms, Data Privacy, Distributed Ledger TechnologiesAbstract
In the era of data-driven decision-making, secure data sharing is critical for ensuring privacy and integrity. This paper explores the concept of decentralized autonomous networks (DANs) as a solution for secure data sharing. We propose a theoretical framework for DANs, highlighting their potential to enhance data security through decentralization and autonomy. The paper presents conceptual models, theoretical analysis, and example scenarios to demonstrate the effectiveness and feasibility of DANs in secure data sharing.
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©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.