基于关联规则挖掘的车载网络入侵检测技术研究

Research on Intrusion Detection Technology Based on Association Rules Mining in Vehicular Networks

摘要: 随着汽车信息化，目前很多汽车都通过网络模块与外网连接。由于汽车跟外网相连，那么就给黑客提供了通过网络远程攻击汽车的途径。本文介绍了粗糙集和关联规则的相关背景，接着用粗糙集技术改进传统的Apriori算法应用到车载网络入侵检测方面，最后通过试验验证了对车载网络的入侵检测。

Abstract: With the development of automobile information, many cars are connected with the external network through the network module. As the car is connected to the extranet, hackers are offered a long way to attack the car via the internet. This paper introduces the background of rough set and association rules, and then uses rough set technology to improve the traditional Apriori algorithm to be applied to the vehicle network intrusion detection, and finally through the test proves the vehicle network intrusion detection.