发布时间：2018-06-04

文章标题：课题组关于智能交通安全的文章被西安交通大学最具影响力SCI国际期刊IEEE Transaction on Vehicular Technology接收

内容：

 课题组关于智能交通安全的文章被西安交通大学最具影响力SCI国际期刊IEEE Transaction on Vehicular Technology接收，文章题目为“Data Integrity Attacks against Dynamic Route Guidance in Transportation-based Cyber-Physical Systems: Modeling, Analysis, and Defense”，该文章由西安交通大学Jie Lin，Xinyu Yang, 以及美国陶森大学Wei Yu，宾州州立大学Nan Zhang以及佐治亚州立大学Linqing' Ge共同完成。

摘要：Real-time route guidance schemes, as one of the critical services in Transportation-based Cyber-Physical Systems (TCPS), have been introduced to assist travelers in determining optimal routing with low traffic congestion and travel time. To secure the route guidance process, which enables traffic efficiency and safety, in this paper we first investigate security issues of route guidance schemes via modeling and analysis of data integrity attacks on the route guidance process, and then develop corresponding mitigation mechanisms to combat the investigated attack. Via the manipulation of traffic state data measured or generated by compromised vehicles, the data integrity attack can give rise to erroneous predictions of traffic states and induce improper determination of guided routes for vehicles, increasing traffic congestion, and reducing traffic efficiency and safety. We formally model the attack and analyze its impacts on the effectiveness of route guidance schemes. Our results show that the data integrity attack can effectively disrupt route guidance schemes, leading to significant traffic congestion, increased traveling time, and imbalanced use of transportation resources. To mitigate the data integrity attack, we investigate the forged data filtering scheme, in which the forged traffic state data can be filtered out during data delivery in vehicular networks. Extensive performance evaluations are conducted to demonstrate the effectiveness of the proposed forged data filtering scheme in comparing with an exiting scheme.