Meet-Cloud for Secure and Accurate Distribution of Negative Messages in Vehicular Ad hoc Network

• 来源期刊: 清华大学学报自然科学版（英文版）
• 年，卷（期）: 2018,（4）
• 页码范围: 377-388
• 页数: 12页
• 语种: 英文
• DOI: 10.26599/TST.2018.9010016

摘要

Keeping Vehicular Ad hoc Network (VANET) from attacks requires secure and efficient distribution ofinformation about bad entities.Negative messages are pieces of information that define the negative attributesof vehicles.By formally defining the negative message,we observe that accuracy is essential for its efficientdistribution.We formally define the coverage percentage and accurate coverage percentage to describe theavailability and distribution efficiency of negative message.These two metrics can jointly evaluate the performanceof a distribution method.To obtain both high coverage percentage and high accurate coverage percentage,wepropose meet-cloud,a scheme based on meet-table and cloud computing to securely and accurately distributenegative messages in VANET.A meet-table in a Road Side Unit (RSU) records the vehicles it encounters.All meet-tables are sent to cloud service to aggregate a global meet-table.The algorithm for distributing and redistributingnegative messages are designed.Security analysis shows that meet-cloud is secure against fake and holding on tonegative message attacks.Simulations and analysis demonstrate that meet-cloud is secure under denial of serviceand fake meet-table attacks.The simulation results also justify that meet-cloud outperforms the RSU broadcastand epidemic model.