Home // IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

Secure Publication Subscription Framework for Reliable Information Dissemination

Authors:
Shugo Yoshimura
Kouki Inoue
Dirceu Cavendish
Hiroshi Koide

Keywords: Keywords-dissemination; publication; social networking; authenticity of information; reputation score

Abstract:
In this study, to make it easy for everyone to distinguish the right information from the wrong information, we suggest a new framework (Secure Publication Subscription Framework) that defines the reliability of publishers and provides it to subscribers.　Nowadays, services like blogs and social media make available large amounts of information easily. On the other hand, there is a lot of unreliable information on the Internet. It is difficult to distinguish between true and false information. This problem is known as fake news and has become a serious problem.　To solve this problem, we suggest a new framework for publishers and subscribers. The framework allows subscribers to easily confirm the authenticity of information by registering publishers and subscribers, and tracking publishers' reputation via a reputation score, guaranteeing the quality of the information that subscribers view.　In this study, we show a proof of concept of a simple Secure Publication Subscription Framework and confirm that it is possible to implement a framework with the proposed functionality. We also confirm that the reputation score can be used as an indicator of the reliability of the information by using 1000 randomly generated articles within the framework.

Pages: 97 to 102

Copyright: Copyright (c) IARIA, 2022

Publication date: July 24, 2022

Published in: conference

ISBN: 978-1-68558-017-9

Location: Nice, France

Dates: from July 24, 2022 to July 28, 2022