TY - GEN
T1 - Toward VANET utopia
T2 - 6th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2016, 9th IEEE International Conference on Social Computing and Networking, SocialCom 2016 and 2016 IEEE International Conference on Sustainable Computing and Communications, SustainCom 2016
AU - Son, Junggab
AU - Kim, Donghyun
AU - Oh, Hyung Geun
AU - Ha, Dongsoo
AU - Lee, Wonjun
N1 - Funding Information:
This research was supported in part by the NRF (National Research Foundation of Korea) grant funded by the Korea government MEST (Ministry of Education, Science and Technology) (No. NRF-2015R1D1A1A09058200). This research was also supported in part by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. B0717-16-0132, Making the Smart Wearable Devices Secure).
Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/26
Y1 - 2016/10/26
N2 - In vehicular ad hoc network (VANET), vehicles are connected in a self-organized manner to collect and share various traffic data about the road condition, accidents, traffic congestions, and other related events, This data can be used to improve the driving quality, however VANET vehicles may receive unreliable data broadcasted by malicious vehicles which may result in unsafe driving and accidents. Many schemes were proposed to deal with such unreliable data. A reputation-based scheme is one of the most promising in determining reliability of messages in a timely manner. Dealing with the privacy presents another challenge in VANET, as malicious vehicles must be detected and their reputation is assigned and updated while preserving their privacy. The system must be able to identify the malicious responses by continuously sending evaluation messages. To address these issues, this paper presents a novel reputation-based message evaluation scheme which guarantees the reliability of the messages as well as the privacy of vehicles. The paper presents some analyses results on the robustness of the scheme against plausible attacks.
AB - In vehicular ad hoc network (VANET), vehicles are connected in a self-organized manner to collect and share various traffic data about the road condition, accidents, traffic congestions, and other related events, This data can be used to improve the driving quality, however VANET vehicles may receive unreliable data broadcasted by malicious vehicles which may result in unsafe driving and accidents. Many schemes were proposed to deal with such unreliable data. A reputation-based scheme is one of the most promising in determining reliability of messages in a timely manner. Dealing with the privacy presents another challenge in VANET, as malicious vehicles must be detected and their reputation is assigned and updated while preserving their privacy. The system must be able to identify the malicious responses by continuously sending evaluation messages. To address these issues, this paper presents a novel reputation-based message evaluation scheme which guarantees the reliability of the messages as well as the privacy of vehicles. The paper presents some analyses results on the robustness of the scheme against plausible attacks.
UR - http://www.scopus.com/inward/record.url?scp=85000893964&partnerID=8YFLogxK
U2 - 10.1109/BDCloud-SocialCom-SustainCom.2016.53
DO - 10.1109/BDCloud-SocialCom-SustainCom.2016.53
M3 - Conference contribution
AN - SCOPUS:85000893964
T3 - Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016
SP - 301
EP - 308
BT - Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016
A2 - Cai, Zhipeng
A2 - Luo, Guangchun
A2 - Cheng, Liang
A2 - Angryk, Rafal
A2 - Li, Yingshu
A2 - Bourgeois, Anu
A2 - Song, Wenzhan
A2 - Cao, Xiaojun
A2 - Krishnamachari, Bhaskar
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 October 2016 through 10 October 2016
ER -