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IoT security system with modified Zero Knowledge Proof algorithm for authentication

delete2021-09-01
delete23
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B
Benfano Soewito *
Y
Yonathan Marcellinus
DOI:10.1016/j.eij.2020.10.001delete
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摘要

摘要

En 中文
It has been predicted that more devices will be connected to the internet network along with the development of IoT, and that will increase the complexity in the security system. The most important thing in security systems is the process of encryption and authentication. Various encryption techniques are developed to overcome security problems of the data. One of the methods used for authentication of data is Zero Knowledge Proof. This method works to identify the authenticity of someones statement to proof without showing any knowledge of the statement mentioned. This research will mainly discuss about the security of data transmission system by combining data encryption and data authentication. The proposed data encryption is using Advanced Encryption System and method for authentication of data using the Zero Knowledge Proof. This research will conduct the development methods of authentication Zero Knowledge Proof from previous research and the result was compared with the proposed method based on the simulation results transmission system client and server. Experiments will be conducted using thirty-text data, each of data will be measured on the performance of both encryption and authentication process between the previous method and proposed method. Experimental results show the performance of the proposed method has better speed to process application for security of data transmission systems, with performance to authenticate approximately 5 ms from the client side and server side. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Computers and Artificial Intelligence, Cairo University.
Keyword:
Data transmission
Authentication
Encyption
Zero Knowledge Proof
Discrete logarithm
Modular arithmetic
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期刊

Egyptian Informatics Journal 封面图
Egyptian Informatics Journal
IF:
4.3
论文数:
786
被引数:
1.4K

机构

U
universitas bina nusantara
学者数:
815
论文数: 583
被引数: 0
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