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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.