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 (Unpublished)
Text
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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) |
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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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