TY - JOUR
T1 - MDBV
T2 - Monitoring Data Batch Verification for Survivability of Internet of Vehicles
AU - Liu, Jingwei
AU - Li, Qingqing
AU - Cao, Huijuan
AU - Sun, Rong
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/9/8
Y1 - 2018/9/8
N2 - Along with the development of vehicular sensors and wireless communication technology, Internet of Vehicles (IoV) is emerging that can improve traffic efficiency and provide a comfortable driving environment. However, there is still a challenge how to ensure the survivability of IoV. Fortunately, this goal can be achieved by quickly verifying real-time monitoring data to avoid network failure. Aggregate signature is an efficient approach to realize quick data verification. In this paper, we propose a monitoring data batch verification scheme based on an improved certificateless aggregate signature for IoV, named MDBV. The size of aggregated verification message is remaining roughly constant even as the increasing number of vehicles in MDBV. Additionally, MDBV is proved to be secure in the random oracle model assuming the intractability of the computational Diffie-Hellman problem. In consideration of the network survivability and performance, the proposed MDBV can decrease the computation overhead and is more suitable for IoV.
AB - Along with the development of vehicular sensors and wireless communication technology, Internet of Vehicles (IoV) is emerging that can improve traffic efficiency and provide a comfortable driving environment. However, there is still a challenge how to ensure the survivability of IoV. Fortunately, this goal can be achieved by quickly verifying real-time monitoring data to avoid network failure. Aggregate signature is an efficient approach to realize quick data verification. In this paper, we propose a monitoring data batch verification scheme based on an improved certificateless aggregate signature for IoV, named MDBV. The size of aggregated verification message is remaining roughly constant even as the increasing number of vehicles in MDBV. Additionally, MDBV is proved to be secure in the random oracle model assuming the intractability of the computational Diffie-Hellman problem. In consideration of the network survivability and performance, the proposed MDBV can decrease the computation overhead and is more suitable for IoV.
KW - Internet of Vehicles
KW - aggregate signature
KW - batch verification
KW - big data
KW - survivability
UR - http://www.scopus.com/inward/record.url?scp=85053115280&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053115280&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2869543
DO - 10.1109/ACCESS.2018.2869543
M3 - Article
AN - SCOPUS:85053115280
VL - 6
SP - 50974
EP - 50983
JO - IEEE Access
JF - IEEE Access
M1 - 8458428
ER -