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 (Unpublished)

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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

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