TY - GEN
T1 - On data integrity attacks against route guidance in transportation-based cyber-physical systems
AU - Lin, Jie
AU - Yu, Wei
AU - Zhang, Nan
AU - Yang, Xinyu
AU - Ge, Linqiang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/17
Y1 - 2017/7/17
N2 - Transportation-based Cyber-Physical Systems (TCPS), also known as Intelligent Transportation Systems (ITS), have been introduced to increase traffic efficiency and safety. To reduce traffic congestion and traveling time, a number of real-time route guidance schemes have been developed to assist travelers in determining the optimal route for their transit. In this paper, we address the vulnerability issue of the route guiding process and study data integrity attacks against route guidance schemes. To be specific, we consider a generic attack, in which the adversary may compromise vehicles via wireless communication networks and then manipulate the real-time traffic information generated or forwarded by these vehicles, and finally broadcast the forged real-time traffic information into vehicular networks. We formally model the attack and quantitatively analyze its impact on the effectiveness of route guidance schemes. Our findings show that the investigated data integrity attack can effectively disrupt route guidance, resulting in significant traffic congestion, the increase of travel time, and the imbalanced use of transportation resources.
AB - Transportation-based Cyber-Physical Systems (TCPS), also known as Intelligent Transportation Systems (ITS), have been introduced to increase traffic efficiency and safety. To reduce traffic congestion and traveling time, a number of real-time route guidance schemes have been developed to assist travelers in determining the optimal route for their transit. In this paper, we address the vulnerability issue of the route guiding process and study data integrity attacks against route guidance schemes. To be specific, we consider a generic attack, in which the adversary may compromise vehicles via wireless communication networks and then manipulate the real-time traffic information generated or forwarded by these vehicles, and finally broadcast the forged real-time traffic information into vehicular networks. We formally model the attack and quantitatively analyze its impact on the effectiveness of route guidance schemes. Our findings show that the investigated data integrity attack can effectively disrupt route guidance, resulting in significant traffic congestion, the increase of travel time, and the imbalanced use of transportation resources.
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U2 - 10.1109/CCNC.2017.7983125
DO - 10.1109/CCNC.2017.7983125
M3 - Conference contribution
AN - SCOPUS:85027408047
T3 - 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
SP - 313
EP - 318
BT - 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
Y2 - 8 January 2017 through 11 January 2017
ER -