A Framework to Ensure Data Integrity and Safety

Data Science: Journal of Computing and Applied Informatics

View Publication Info
 
 
Field Value
 
Title A Framework to Ensure Data Integrity and Safety
 
Creator Paulus, Erick
Fauzan, Mochamad Azmi
 
Description The technology development allows people to more easily communicate and convey information. The current communication media can facilitate its users to send and receive digital data, such as text, sound or digital image. But in terms of security, communications media not always ensure the confidentiality and authentication of data traffic. Most people rely solely on the security provided by the communications media providers in securing their data, which is essentially still inadequate. This paper presents the development of a data security framework by applying the principles of cryptography and digital signatures, such as authenticity, integrity, and data confidentiality. The application is designed using the SHA-256 algorithm as digital signature, AES algorithm as file encryption, and RSA algorithm as asymmetric key in digital file distribution and signature. Then, several simulation testing was performed to ensure the robustness of the framework. Furthermore, we also evaluated the speed of framework based on CPU and memory capacity. Based on the experiment, our proposed framework can be a reliable solution for securing data in data transaction
 
Publisher Talenta Publisher
 
Date 2018-02-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://talenta.usu.ac.id/index.php/JoCAI/article/view/90
10.32734/jocai.v2.i1-90
 
Source Data Science: Journal of Computing and Applied Informatics; Vol 2 No 1 (2018): Data Science: Journal of Computing and Applied Informatics (JoCAI); 1-11
2580-829X
2580-6769
 
Language eng
 
Relation https://talenta.usu.ac.id/index.php/JoCAI/article/view/90/74
 
Rights Copyright (c) 2018 Journal of Computing and Applied Informatics
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library