A Business Rule Management Framework for Internet of Vehicles

Citation

Jiang, Zheng and Chua, Fang Fang and Lim, Amy Hui Lan (2022) A Business Rule Management Framework for Internet of Vehicles. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

[img] Text
12.JIANG ZHENG.pdf - Submitted Version
Restricted to Registered users only

Download (439kB)

Abstract

In this era of rapid development of vehicle networking technology, security issues are becoming more and more important. Although it is now possible to identify whether a vehicle is legal through registration, signature, etc., there are still many other problems, such as ITS (Intelligent Transportation System) lacking a mechanism to ensure message credibility. • In real-world scenarios, there may be malicious vehicles that publish false news out of self-interest. For example, they might say that there is a traffic jam at a certain time and place, but it is not. Therefore, how to establish an effective trust mechanism in the Internet of Vehicles is a problem that needs to be solved urgently. • The IoV trusts the dynamic management system to handle sudden data flows, otherwise the system may not be able to provide timely and accurate services • The concept of trust comes from human society, which leads to the use of many empirical formulas in most trust models, lacking a complete theory to systematically and effectively explain the trust issues in the Internet of Vehicles

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Algorithms
Subjects: Q Science > QA Mathematics > QA801-939 Analytic mechanics
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 19 Dec 2022 07:58
Last Modified: 19 Dec 2022 07:58
URII: http://shdl.mmu.edu.my/id/eprint/10927

Downloads

Downloads per month over past year

View ItemEdit (login required)