Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16508
Title: Integrated Blockchain Model for Personal Identifiable Information System (Ibpiis): A Secure Approach
Authors: Achary, Rathnakar
Raj, Sahil
Shelke, Chetan J
Keywords: 3 D Blockchain
Merkle Tree
Speech Synthesis
Speech-To-Text Recognition
Word Error Rate
Issue Date: 2024
Publisher: 2024 3rd International Conference for Innovation in Technology, INOCON 2024
Institute of Electrical and Electronics Engineers Inc.
Citation: pp. 1-7
Abstract: With the proliferation of information technology, the application of the Internet of Things (IoT) has gained momentum in various domains. This resource-constrained device is interfaced with many field devices to gather data, amounting to data for diverse applications. Securing this data either in a data store or in transition is an emerging area of research, that deals with the implementation of IoT Blockchain to maintain confidentiality and data integrity. This paper presents a network in which highly operational resources can be combined with blockchain to prevent data tampering. The proposed IBPIIS is a framework that integrates consensus method, authentication by hashing, smart contract, and distributed management scheme, with smart devices and blockchain ecosystem to ensure security and information management. A comprehensive simulation is run under several scenarios on the system developed to analyze its performance in terms of time complexity and energy efficiency. This analysis also presents an improved blockchain-based Personal Identifiable Secure Management System to develop a data storage model that can efficiently handle the drawbacks of data redundancy and limited data storage space. © 2024 IEEE.
URI: https://doi.org/10.1109/INOCON60754.2024.10511456
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16508
ISBN: 9798350381931
Appears in Collections:Conference Papers

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