DocumentCode
2584034
Title
Fuzzing CAN Packets into Automobiles
Author
Hyeryun Lee ; Kyunghee Choi ; Kihyun Chung ; Jaein Kim ; Kangbin Yim
Author_Institution
Sch. of Inf. & Commun., Ajou Univ., Suwon, South Korea
fYear
2015
fDate
24-27 March 2015
Firstpage
817
Lastpage
821
Abstract
There have been many warnings that automobiles are vulnerable to the attacks through the network, CAN which connects the ECUs (Electrical Control Units) embedded in the automobiles. Some previous studies showed that the warnings were actual treats. They analyzed the packets flowing on the network and used the packets constructed based on the analysis. We show that it is possible to attack automobiles without any in-depth knowledge about automobiles and specially designed tools to analyze the packets. Experiments are performed in two phases. In the first phase, the victims automobiles are attacked with the packets constructed with the CAN IDs gathered from the sniffed packets flowing in the automobiles. It is not a problem at all to gather CANIDs since CAN is an open simple standard protocol and there are many tools to sniff CAN packets in the Internet. In the second phase, the attack packets are constructed in a completely random manner without any previous information such as CAN IDs. The packets are injected into the network via Bluetooth, a wireless channel. Through the experiments, we show the network vulnerability of automobiles.
Keywords
Internet; automobiles; automotive electronics; computer network security; controller area networks; Bluetooth; CAN ID; ECU; Internet; automobiles; electrical control units; fuzzing CAN packets; network vulnerability; sniff CAN packets; sniffed packets; wireless channel; Automobiles; Bluetooth; Internet; Monitoring; Ports (Computers); Security; Wireless communication; Automobile; CAN; Cyber attack; ECU; Fuzzing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on
Conference_Location
Gwangiu
ISSN
1550-445X
Print_ISBN
978-1-4799-7904-2
Type
conf
DOI
10.1109/AINA.2015.274
Filename
7098059
Link To Document